SQL Jobs in Qatar

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> <b>Job Title: Cards Analytics Specialist</b></p> <p> <strong>Term: </strong>12 months </p> <p> <strong>Location: </strong>Doha, Qatar</p> <p> <strong>Division:</strong> Cards &amp; Payments/ Retail Banking</p> <p> <strong>Reports to: </strong>Head of Cards Product/ Head of Cards Portfolio/ Head of Cards Analytics</p> <p> <strong>Relevant experience: </strong> </p> <p>7 years in cards analytics, portfolio analytics, or business intelligence within banking, payments, or financial services</p> <p> <strong>Mandatory requirements: </strong> </p> <ol> <li>Proficiency in SQL and Excel</li> <li>Demonstrated experience in cards portfolio analytics (credit and/or debit) within banking or payments</li> <li>Experience with at least one data visualisation tool (Tableau, Power BI, or equivalent)</li> <li>Professional proficiency in English</li> <li>Immediately available or within 30- day notice</li> </ol> <p> </p> <p> <strong>PURPOSE OF THE PROJECT </strong> <br>The Cards Product and Portfolio teams require dedicated analytical capacity to strengthen data-driven decision-making across the card lifecycle; from acquisition and activation through spend growth, retention, and profitability. This role exists to embed a specialist analytics resource who will own the production and interpretation of portfolio performance reporting, diagnose emerging trends and risks, measure campaign effectiveness, and translate data into actionable recommendations for senior stakeholders. For the right candidate, this is an opportunity to directly influence a card portfolio's commercial trajectory working at the intersection of product strategy, marketing execution, and financial performance within a leading financial institution.<strong> <br> <br> </strong> </p> <p> <strong>Key Activities<br>Core Responsibilities and Accountabilities</strong> <br> </p> <ul> <li>Portfolio performance reporting &amp; monitoring (~35%)-Build, maintain, and deliver recurring and ad-hoc performance dashboards covering acquisition, activation, spend, ENR (Earning Net Revenue), delinquency, attrition, and profitability metrics across the card portfolio.</li> <li>Portfolio diagnostics &amp; segmentation analysis (~25%)-Conduct deep-dive analyses on portfolio segments (by product, channel, customer cohort, vintage) to identify performance drivers, risks, and growth opportunities.</li> <li>Campaign measurement &amp; effectiveness analysis (~20%)-Design and execute pre/post campaign analytics including control-group methodology, ROI calculation, and response-rate analysis to measure and optimise marketing and engagement campaigns.</li> <li>Data-driven decision support (~15%)-Provide structured analytical support to Cards Product, Portfolio, Marketing, and Risk teams through insight packs, business cases, and scenario analyses that inform strategic and tactical decisions.</li> <li>Data quality &amp; automation (~5%)-Identify opportunities to improve data integrity, automate recurring reports, and enhance self-serve analytics capabilities for business users.</li> <li>Own and deliver the recurring cards portfolio performance reporting suite (daily/weekly/monthly), ensuring timely, accurate, and insight-rich output that enables the Cards leadership team to track KPIs against targets and take corrective action.</li> <li>Diagnose portfolio health by conducting segmentation, cohort, vintage, and trend analyses across the card lifecycle (acquisition activation usage retention attrition), identifying underperforming segments and recommending targeted interventions.</li> <li>Design and execute campaign measurement frameworks-including A/B testing structures, control groups, uplift calculations, and ROI analysis-to quantify the impact of card marketing campaigns and provide actionable post-campaign recommendations.</li> <li>Develop and maintain interactive dashboards and visualisations (Tableau / Power BI) that enable stakeholders to self-serve on key portfolio metrics, reducing ad-hoc request volume and improving decision speed.</li> <li>Translate analytical findings into clear, concise insight packs and presentations for senior management, ensuring recommendations are commercially grounded and linked to portfolio P&amp;L levers (interchange, fee income, cost of funds, provision rates).</li> <li>Collaborate cross-functionally with Product, Marketing, Risk, Operations, and Finance teams to ensure data consistency, align on KPI definitions, and embed analytics into business planning and campaign execution cycles.</li> <li>Continuously improve data extraction, transformation, and reporting processes-automating manual workflows and enhancing data quality controls to increase efficiency and reduce error rates.<strong> <br> <br> </strong> </li> </ul> <p> <strong>KPIs (illustrative) </strong> <br> </p> <ol> <li>Reporting timeliness &amp; accuracy-% of scheduled reports delivered on time with </li><li>Dashboard adoption-% of stakeholders actively using self-serve dashboards (target: 70%+ monthly active users)</li> <li>Campaign ROI measurement coverage-% of card campaigns with completed pre/post analysis delivered within 10 business days of campaign close</li> <li>Insight-to-action conversion-Number of analytical recommendations adopted by Product/Marketing per quarter</li> <li>Ad-hoc request turnaround-Average time to deliver ad-hoc analytical requests (target: 3 business days)</li> <li>Automation rate-Number of manual reports converted to automated/self serve per quarter<strong> <br> <br> </strong> </li> </ol> <p> <strong>Knowledge and Experience</strong> <br> </p> <ul> <li>7 years in a cards analytics, portfolio analytics, or business intelligence role within banking, payments, or fintech</li> <li>Exposure to retail banking, consumer lending, or credit risk analytics preferred</li> <li>Cards portfolio management concepts: acquisition funnels, activation rates, spend behaviour, ENR/balance build, attrition, delinquency, and profitability drivers</li> <li>Understanding of card P&amp;L structure (interchange income, fee income, cost of funds, scheme fees, provision/write-off)</li> <li>Campaign lifecycle analytics: targeting, segmentation, control-group design, uplift measurement, and ROI</li> <li>Familiarity with card scheme reporting ( performance dashboards and benchmarking tools) -preferred</li> <li>SQL -proficient in writing complex queries for large datasets (mandatory)</li> <li>Excel -advanced (pivot tables, VLOOKUP/INDEX-MATCH, data modelling, macros) (mandatory)</li> <li>Tableau and/or Power BI -dashboard design and interactive reporting (mandatory)</li> <li>Python or R -for statistical analysis, data manipulation, and automation preferred</li> <li>SAS -portfolio analytics and data extraction -preferred<br> </li> <li>CRM and campaign management platforms (e.g., Salesforce Marketing Cloud, Adobe Campaign, SAS CI) - preferred</li> <li><br></li> </ul></div></section>

Mid/Senior Solution Architect – Qatar<br>A fantastic opportunity for a skilled Solution Architect do join a global AI/Deep Tech company, as part of their expansion into the Middle East.<br>In this role you will join our pre-sales team and bridge the gap between our technology and our customers’ needs, crafting innovative, scalable, and robust AI- powered solutions.<br>***Applicants must have legal authorization to work in Qatar***<br>Requirements:Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant) Excellent communication and presentation skills, able to interface effectively with technical and non-technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands-on product demos independently. Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., Sage Maker, Vertex AI, Azure ML), including sovereign, on-premise, and hybrid deployment models. Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization. Understanding of LLM inference stacks (v LLM, llama.cpp, Open VINO) and model delivery formats (ONNX, .safetensors, Hugging Face model hub). Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200). Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput). Hands-on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, Tensor Flow, Hugging Face). Must be available to travel as needed for meetings, conferences, and project requirements. Languages: Arabic and English<br>Nice to Have:•Experience with Computer Vision models, Speech models, Vision-Language models, and other modalities.•Experience with AI model optimization, quantization, or deployment to edge devices.•Hands-on experience designing RAG pipelines and/or multi-agent systems..•Experience designing data architectures (batch & streaming) and working with big data technologies.•Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the respective country AI Act.<br><br>By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-recruit.com/about-us/privacy-notice/)

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Your Mission The Lead Engineer Industrial Digital Twin leads the design, implementation, and delivery of industrial digital twin solutions across the asset lifecycle. The role ensures accurate data integration, high quality technical execution, and strong customer engagement, with emphasis on AVEVA Asset Information Management (AIM), engineering data governance, and digital engineering workflows.</p><p>Your Role Magic happens when you bring great people together! Define and lead the architecture and delivery of digital twin and asset information solutions, including data modeling, taxonomy definition, and metadata quality. Collaborate with Sales and Project Managers to develop scope, estimates, and technical deliverables. Collaborate with data science teams to integrate predictive models, anomaly detection, and engineering analytics into the twin Configure and deploy AVEVA AIM, including data ingestion, model structuring, dashboards, and search configurations. Integrate engineering, maintenance, and operational data (P&amp;IDs, 3D models, CMMS, Historian, DCS, IoT, SCADA tags, documents). Conduct on-site and remote data validation, configuration, commissioning, and user acceptance testing. Define and enforce data governance frameworks, class libraries, and engineering information standards (ISO 15926, CFIHOS, ISA-95/ISA-88, OPC UA, and BIM standards (ISO 19650)). Coordinate with global engineering centers to ensure accuracy and quality. Identify project risks and interoperability challenges and create mitigation plans. Serve as primary technical interface with customers, managing expectations and resolving issues.</p><p>General Ensure adherence to engineering processes, cybersecurity guidelines, and quality standards. Mentor engineering team members and support capability development. Optimize project cost, resource allocation, and reduce rework to improve margins. Core Competencies Digital Twin Architecture &amp; Strategy Asset Information Management &amp; Data Governance Customer &amp; Operational Domain Knowledge Problem Solving Consultative Global Collaboration &amp; Cross-functional Leadership Communication &amp; Stakeholder Alignment Risk &amp; Change Management People Leadership &amp; Mentoring</p><p>About You Preferred Technical Skills AVEVA Asset Information Management (AIM): ADF loading, connectors, dashboards, class libraries, data governance. Competitor platform experience (desirable): Hexagon SDx/SPF, Bentley iTwin/AssetWise, Siemens COMOS/Xcelerator, AspenTech APM, IBM Maximo, SAP PM. Understanding of engineering deliverables: P&amp;IDs, 3D models, datasheets, tag lists, Understanding of UI/UX best practices and knowledge on Industrial protocols and related integration basics.. Data tools: SQL, ETL/ELT pipelines, Python scripting. Exposure to cloud deployment (Azure/AWS), OT/IT cybersecurity, and historian/DCS/SCADA data. Strong background in industrial automation, engineering information systems, or digital transformation. Hands-on delivery experience with AVEVA AIM or equivalent digital twin platforms. Experience working with EPCs and owner-operators. Proven customer-facing leadership and issue-resolution skills. Experience with risk assessment, data validation, and governance frameworks. Manage licensing, upgrades, and compatibility across digital ecosystems. Lead engineering change processes (Management of Change, audit trails, approvals). Background leading multi-disciplinary engineering teams in global environments Bring your technical expertise to a team that values innovation and execution apply today!</p><p>Rewards designed for you Our Total Rewards is our way of saying: We see you and we value you. It s more than just pay and benefits it s a meaningful investment in you. It is designed to help you perform, grow, feel safe, and elevate your potential. The package helps you care for yourself and your family, plan your future, grow your skills and career, collaborate in an inclusive workplace, and contribute to your community. At Schneider Electric, we re here for what matters most to you. Discover more at our Career Page. * Country-specific programs and initiatives may be available. Looking to make an IMPACT with your career? When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork starts with us. IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world. We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one. Become an IMPACT Maker with Schneider Electric apply today!</p><p>€40 billion global revenue +9% organic growth employees in 100+ countries You must submit an online application to be considered for any position with us. This position will be posted until filled. Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and inclusion is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Preferred Technical Skills AVEVA Asset Information Management (AIM): ADF loading, connectors, dashboards, class libraries, data governance.</li><li>Competitor platform experience (desirable): Hexagon SDx/SPF, Bentley iTwin/AssetWise, Siemens COMOS/Xcelerator, AspenTech APM, IBM Maximo, SAP PM.</li><li>Understanding of engineering deliverables: P&amp;IDs, 3D models, datasheets, tag lists, Understanding of UI/UX best practices and knowledge on Industrial protocols and related integration basics..</li><li>Data tools: SQL, ETL/ELT pipelines, Python scripting.</li><li>Exposure to cloud deployment (Azure/AWS), OT/IT cybersecurity, and historian/DCS/SCADA data.</li><li>Strong background in industrial automation, engineering information systems, or digital transformation.</li><li>Hands-on delivery experience with AVEVA AIM or equivalent digital twin platforms.</li><li>Experience working with EPCs and owner-operators.</li><li>Proven customer-facing leadership and issue-resolution skills.</li><li>Experience with risk assessment, data validation, and governance frameworks.</li><li>Manage licensing, upgrades, and compatibility across digital ecosystems.</li><li>Lead engineering change processes (Management of Change, audit trails, approvals).</li><li>Background leading multi-disciplinary engineering teams in global environments</li></ul><p></p></section>

<p>Job Summary We are seeking an experienced Oracle FCCM / AML Functional Consultant with 5-10 years of experience in Financial Crime and Compliance solutions. The ideal candidate should have strong hands-on experience with Oracle Financial Services Financial Crime and Compliance Management (FCCM) , including AML, KYC, Transaction Filtering, TBML, ERM, OFSCS, and regulatory reporting . The candidate will be responsible for implementing, configuring, integrating, and supporting financial crime compliance solutions, while working closely with business, compliance, technology, and regulatory stakeholders.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>5-10 years of overall experience in financial crime, AML, banking technology, or financial compliance applications.</li><li>Strong hands-on experience with Oracle FCCM .</li><li>Good experience in: AML Anti-Money Laundering KYC Know Your Customer TBML Trade-Based Money Laundering ERM Enterprise Risk Management Transaction Filtering / Sanctions Screening OFSCS Oracle Financial Services Cloud Services Regulatory Reporting</li><li>Strong understanding of financial crime processes, transaction monitoring, customer risk, sanctions screening, alert generation, investigation, and case management.</li><li>Experience with system integration and enterprise application interfaces.</li><li>Strong knowledge of ETL processes , data extraction, transformation, loading, and reconciliation.</li><li>Experience with data mapping and integration between source systems and FCCM.</li><li>Good understanding of SQL and database concepts for data analysis and troubleshooting.</li><li>Experience working with APIs, web services, batch/file-based interfaces, or other integration mechanisms is preferred.</li><li>Good understanding of banking products, customer/account structures, payments, transactions, and financial data.</li><li>Experience working in Agile or other structured software delivery methodologies.</li><li><strong>Preferred Qualifications</strong></li><li>Bachelor's degree in Computer Science, Information Technology, Finance, Banking, or a related discipline.</li><li>Oracle Financial Services/FCCM certification is an advantage.</li><li>Experience working on banking or financial services projects.</li><li>Knowledge of global AML/KYC and sanctions regulations and regulatory reporting requirements.</li><li>Experience in end-to-end implementation, upgrade, enhancement, or production support of Oracle FCCM.</li><li><strong>Key Competencies</strong></li><li>Strong analytical and problem-solving skills.</li><li>Excellent understanding of financial crime and compliance processes.</li><li>Ability to translate regulatory and business requirements into system solutions.</li><li>Strong communication and stakeholder management skills.</li><li>Ability to work effectively with functional, technical, integration, data, and compliance teams.</li><li>Strong documentation and troubleshooting skills.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational statistics problems that simulate real mathematical research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis; Base problems on real research challenges or practical applications from mathematical practice; Verify solutions using Python with standard mathematical libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for statistics specialists with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Statistics or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Strong written English (C1+); Professional certifications (e.<br>g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $39 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational statistics problems that simulate real mathematical research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis; Base problems on real research challenges or practical applications from mathematical practice; Verify solutions using Python with standard mathematical libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for statistics specialists with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Statistics or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Strong written English (C1+); Professional certifications (e.<br>g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $39 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation isproject-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original material engineering problems that simulate real engineering workflows; Create problems requiring Python programming to solve engineering calculations and simulations; Ensure problems are computationally intensive and require numerical methods or iterative solutions; Develop problems involving system design, optimization, and analysis; Base problems on real research challenges or practical applications from engineering practice; Verify solutions using Python with standard engineering libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for material scientists &amp; engineers with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Material Science or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Understanding of practical engineering constraints and approximations; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $35 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational mathematics problems that simulate real mathematical research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis; Base problems on real research challenges or practical applications from mathematical practice; Verify solutions using Python with standard mathematical libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for mathematicians with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Mathematics (Pure or Applied) or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Experience with numerical methods and symbolic computation; Ability to design problems that mirror real mathematical research workflows; Familiarity with computational complexity theory; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $35 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

Primary Purpose Of The Job<br><br>Assist in the delivery of the strategic vision for company transformation, aligning it with long-term goals and architecture. Working with key stakeholders to elaborate requirements, design and implement efficient application solutions. Manage product backlogs and work with technical teams on implementation. Work collaboratively and bring parties together from within IT and the commercial functions. Work directly with the business teams, having a customer first approach and being able to communicate effectively with different levels and disciplines within the organisation. Assist with understanding the impact of business change and work with business teams to onboard and implement such change. Provide expert support and required technical services to COMPANY on related applications, in coordination with the other ICT entities.<br><br>Education<br><br>Bachelor’s degree in a technology or finance subject from an internationally recognised university.<br><br>Experience & Skills<br><br>Industry Experience<br><br>Minimum of 9 years of work experience in commodities trading with leading IOCs, trading houses, NOCs, or vendors in change, process, and technology.<br><br>C/ETRM & Trading Systems<br><br>Strong C/ETRM experience in designing and implementing solutions to enhance trading strategies, risk mitigation, and operational efficiency. Experience with C/ETRM tools such as Openlink, Triple Point, and Allegro is preferred. Product knowledge of Planlogic EOS, Veson Nautical IMOS and SAP is an advantage.<br><br>Commodity Trading & Market Knowledge<br><br>Strong understanding of commodity markets (LNG is preferred), trading strategies, related organisation, processes, risk management principles and related technology solutions (C/ETRM, fleet management, trading platforms, market analytics, etc.). End-to-end, multidisciplinary knowledge is required in areas such as commodity trading, shipping and finance, with advanced knowledge of the front-to-back office trade lifecycle. Specialised experience in at least one area, such as physical LNG trading, cargo operations, shipping, derivative & emission trading, trading risk and finance, or portfolio optimisation.<br><br>Business Analysis & Requirements Management<br><br>Exceptional analytical and conceptual thinking skills. Ability to work with the unknown, own problems and make decisions. Proven ability to translate business requirements into technical requirements. Proven ability to manage backlog and relevant documentation with the development team.<br><br>Technology & Architecture<br><br>Enthusiastic and passionate about technology as an enabler in commodities trading. Familiar with IT standards & best practices, architecture, integration, and methods.<br><br>Communication & Stakeholder Management<br><br>Excellent communication, presentation and influencing skills, and ability to communicate concepts as appropriate to management, stakeholders and vendors.<br><br>Tools & Applications<br><br>High proficiency with workplace applications (Word, Excel, Power Point, Outlook), project management and collaboration tools (e.g., MS Project, Azure Dev Ops / Confluence Jira, Miro / Mural, etc.). Comfortable in working with SQL queries and Excel.<br><br>Project Management & Delivery Methodologies<br><br>Practical experience with agile frameworks, PMP or PRINCE2 is an advantage.

Primary Purpose Of The Job<br><br>Assist in the delivery of the strategic vision for company transformation, aligning it with long-term goals and architecture. Working with key stakeholders to elaborate requirements, design and implement efficient application solutions. Manage product backlogs and work with technical teams on implementation. Work collaboratively and bring parties together from within IT and the commercial functions. Work directly with the business teams, having a customer first approach and being able to communicate effectively with different levels and disciplines within the organisation. Assist with understanding the impact of business change and work with business teams to onboard and implement such change. Provide expert support and required technical services to COMPANY on related applications, in coordination with the other ICT entities.<br><br>Education<br><br>Bachelor’s degree in a technology or finance subject from an internationally recognised university.<br><br>Experience & Skills<br><br>Industry Experience<br><br>Minimum of 9 years of work experience in commodities trading with leading IOCs, trading houses, NOCs, or vendors in change, process, and technology.<br><br>C/ETRM & Trading Systems<br><br>Strong C/ETRM experience in designing and implementing solutions to enhance trading strategies, risk mitigation, and operational efficiency. Experience with C/ETRM tools such as Openlink, Triple Point, and Allegro is preferred. Product knowledge of Planlogic EOS, Veson Nautical IMOS and SAP is an advantage.<br><br>Commodity Trading & Market Knowledge<br><br>Strong understanding of commodity markets (LNG is preferred), trading strategies, related organisation, processes, risk management principles and related technology solutions (C/ETRM, fleet management, trading platforms, market analytics, etc.). End-to-end, multidisciplinary knowledge is required in areas such as commodity trading, shipping and finance, with advanced knowledge of the front-to-back office trade lifecycle. Specialised experience in at least one area, such as physical LNG trading, cargo operations, shipping, derivative & emission trading, trading risk and finance, or portfolio optimisation.<br><br>Business Analysis & Requirements Management<br><br>Exceptional analytical and conceptual thinking skills. Ability to work with the unknown, own problems and make decisions. Proven ability to translate business requirements into technical requirements. Proven ability to manage backlog and relevant documentation with the development team.<br><br>Technology & Architecture<br><br>Enthusiastic and passionate about technology as an enabler in commodities trading. Familiar with IT standards & best practices, architecture, integration, and methods.<br><br>Communication & Stakeholder Management<br><br>Excellent communication, presentation and influencing skills, and ability to communicate concepts as appropriate to management, stakeholders and vendors.<br><br>Tools & Applications<br><br>High proficiency with workplace applications (Word, Excel, Power Point, Outlook), project management and collaboration tools (e.g., MS Project, Azure Dev Ops / Confluence Jira, Miro / Mural, etc.). Comfortable in working with SQL queries and Excel.<br><br>Project Management & Delivery Methodologies<br><br>Practical experience with agile frameworks, PMP or PRINCE2 is an advantage.

Primary Purpose Of The Job<br><br>Assist delivery of the strategic vision for Qatar Energy Trading’s transformation, aligning it with long-term goals and architecture. Working with key stakeholders to elaborate requirements, design and implement efficient application solutions. Manage products backlogs and work with technical teams on implementation. Work collaboratively and bring parties together from within IT and the commercial functions. Work directly with the business teams, have a customer first approach being able to communicate effectively with different levels and disciplines within the organization. Assist with understanding impact of business change and work with business teams to onboard and implement such change. Provide expert support and required technical services to QET on related applications, in coordination with the other ICT entities.<br><br>Required Experience And Skills<br><br>Minimum of 9 years of work experience in Commodities trading with leading IOCs, trading houses, NOCs, or vendors in change, process, and technology. Strong C/ETRM experience in designing and implementing solutions to enhance trading strategies, risk mitigation, and operational efficiency. Strong understanding of commodity markets (LNG is preferred), trading strategies, related organization, processes, risk management principles and related technologies solutions (C/ETRM, Fleet Management, Trading Platform, Market Analytics, etc). End-to-end, multi-disciplinary knowledge is required in areas such as Commodities trading, Shipping and Finance with advanced knowledge of the front-to-back office trade lifecycle. Specialized experience in at least one area, such as Physical LNG Trading, Cargo Operations, Shipping, Derivative & Emission Trading, Trading Risk and Finance, or Portfolio Optimization. Exceptional analytical and conceptual thinking skills. Ability to work with the unknown, own problems and make decisions. Proven ability to translate business requirements into technical requirements. Proven ability to manage backlog and relevant documentations with development team. Enthusiastic and passionate about technology as an enabler in commodities trading. Familiar with IT standards & best practices, architecture, integration, methods. Excellent communication, presentation and influencing skills, and ability to communicate concepts as appropriate to management, stakeholders and vendors. High proficiency with workplace applications (Word, Excel, Power Point, Outlook), project management and collaboration tools (e.g. MS Project, Azure Dev Ops / Confluence Jira, Miro/Mural etc). Comfortable in working with SQL queries and Excel. Experience with C/ETRM tools such as Openlink, Triple Point, Allegro are preferred. Product knowledge of Planlogic EOS, Veson Nautical IMOS and SAP is an advantage. Practical experience with agile frameworks, PMP or Prince2 is an advantage. Postgraduate Qualification (MSc, PhD or MBA) is an advantage.<br><br>Educational Qualifications<br><br>Bachelor’s degree in technology or finance subject from an internationally recognized university.

Primary Purpose Of The Job<br><br>Assist delivery of the strategic vision for Qatar Energy Trading’s transformation, aligning it with long-term goals and architecture. Working with key stakeholders to elaborate requirements, design and implement efficient application solutions. Manage products backlogs and work with technical teams on implementation. Work collaboratively and bring parties together from within IT and the commercial functions. Work directly with the business teams, have a customer first approach being able to communicate effectively with different levels and disciplines within the organization. Assist with understanding impact of business change and work with business teams to onboard and implement such change. Provide expert support and required technical services to QET on related applications, in coordination with the other ICT entities.<br><br>Required Experience And Skills<br><br>Minimum of 9 years of work experience in Commodities trading with leading IOCs, trading houses, NOCs, or vendors in change, process, and technology. Strong C/ETRM experience in designing and implementing solutions to enhance trading strategies, risk mitigation, and operational efficiency. Strong understanding of commodity markets (LNG is preferred), trading strategies, related organization, processes, risk management principles and related technologies solutions (C/ETRM, Fleet Management, Trading Platform, Market Analytics, etc). End-to-end, multi-disciplinary knowledge is required in areas such as Commodities trading, Shipping and Finance with advanced knowledge of the front-to-back office trade lifecycle. Specialized experience in at least one area, such as Physical LNG Trading, Cargo Operations, Shipping, Derivative & Emission Trading, Trading Risk and Finance, or Portfolio Optimization. Exceptional analytical and conceptual thinking skills. Ability to work with the unknown, own problems and make decisions. Proven ability to translate business requirements into technical requirements. Proven ability to manage backlog and relevant documentations with development team. Enthusiastic and passionate about technology as an enabler in commodities trading. Familiar with IT standards & best practices, architecture, integration, methods. Excellent communication, presentation and influencing skills, and ability to communicate concepts as appropriate to management, stakeholders and vendors. High proficiency with workplace applications (Word, Excel, Power Point, Outlook), project management and collaboration tools (e.g. MS Project, Azure Dev Ops / Confluence Jira, Miro/Mural etc). Comfortable in working with SQL queries and Excel. Experience with C/ETRM tools such as Openlink, Triple Point, Allegro are preferred. Product knowledge of Planlogic EOS, Veson Nautical IMOS and SAP is an advantage. Practical experience with agile frameworks, PMP or Prince2 is an advantage. Postgraduate Qualification (MSc, PhD or MBA) is an advantage.<br><br>Educational Qualifications<br><br>Bachelor’s degree in technology or finance subject from an internationally recognized university.

At EY, we're all in to shape your future with confidence.<br><br>We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.<br><br>Join EY and help to build a better working world.<br><br>Key Responsibilities<br><br> Understand ongoing business problems and translate them into research and analytical studies Identify relevant data sources and define the type of data required for analysis Gather, clean, and prepare data for analysis to ensure accuracy and reliability Perform in-depth data analysis to extract meaningful insights Interpret findings and present actionable recommendations to support decision-making<br><br>Experience, Professional Qualifications & Criteria<br><br> Degree in relevant fields such as Statistics, Mathematics, Economics, or a related analytical discipline 10+ years of Proven experience in data analytics or a similar analytical role Professional Certification (preferred): Data Analytics Professional Certificate<br><br>Language Requirements<br><br> Fluency in Arabic (mandatory) Strong proficiency in English<br><br>Technical Skills<br><br> Strong mathematical and analytical skills for collecting, measuring, organizing, and analyzing data Working knowledge of programming languages such as SQL, Python, R, and Oracle Experience with data models, database design development, segmentation, and data mining techniques Hands-on experience with reporting tools, databases, and frameworks (XML, ETL, Java Script frameworks) In-depth understanding of statistical methods and tools used to analyze datasets Familiarity with big data platforms such as Apache Spark and Hadoop Proficiency in data visualization tools including Power BI and Tableau Ability to design and apply algorithms to derive insights and solutions from datasets<br><br>Soft Skills<br><br> Strong critical thinking and analytical capabilities Excellent communication and presentation skills Problem-solving mindset with attention to detail Ability to manage multiple priorities effectively<br><br>Team Skills<br><br> Strong collaboration and teamwork abilities Creativity and structured thinking Solid experience in report writing, presentations, and data querying Excellent written and verbal communication skills Understanding of industry-specific data analysis practices<br><br>At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment and fuel your extraordinary talents in a diverse and inclusive culture of globally connected teams.<br><br>Are you ready to shape your future with confidence? Apply today.<br><br>To help create the best experience during the recruitment process, please describe any disability-related adjustments or accommodations you may need.<br><br>EY | Building a better working world<br><br>EY is building a better working world by creating new value for clients, people, society, and the planet, while building trust in capital markets.<br><br>Enabled by data, AI, and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.<br><br>EY teams work across a full spectrum of services in assurance, consulting, tax, strategy, and transactions, supporting clients in more than 150 countries and territories.

???? Welcome to Your Next Adventure!<br><br>We are looking for an Agent Tools Strategy & Operations Specialist to own the tooling and processes that power our support agents — and to make every agent faster, more accurate, and more effective.<br><br>This role sits at the intersection of operations and product. You will define what our agent tools need to do, streamline the processes agents follow, and partner with Product and Engineering to build and improve the systems that make seamless, semi-automated support possible. You will ultimately move the classic support metrics — handle time, first contact resolution, and quality — but through a process and tooling lens, not through direct management of the agent team.<br><br>This is a strategic, data-driven position. We are looking for a brilliant generalist who can deeply own the agent-experience problem space today while evolving into broader CX strategic initiatives as the organization grows.<br><br>???? What You’ll Get Your Hands On<br><br>Own the Agent Tooling & Process Problem End-to-End<br><br>Understand, at an operations level, what agents need from their tools — and translate that into clear functional requirements and roadmaps. Map and streamline the end-to-end processes agents follow, removing friction, manual steps, and rework. Own the strategy and operations of core tooling capabilities such as case management and routing, agent assignment and capacity management, customer identification, and consolidation of fragmented tools into a unified workflow. Identify where semi-automation, templating, and guided workflows can reduce effort and error.<br><br>Partner with Product & Engineering to Build the Tools<br><br>Define product feature requirements and roadmaps together with Product and Engineering. Develop project plans across stakeholder groups to ensure successful development and deployment of features. Act as the quality-assurance arm of development — flag critical quality blockers and risks ahead of feature launches. Drive continuous improvement post-launch through defect tracking and remediation.<br><br>Drive Support Operations Metrics Through Tooling<br><br>Move the core support metrics — average handle time (AHT), first contact resolution (FCR), resolution time, and quality — by improving processes and tools rather than managing people. Build reporting and diagnostics that connect tooling and process changes to metric movement. Design experiments and pilots to validate that a tooling or process change actually improves agent efficiency and customer outcomes before scaling it.<br><br>Use Data to Drive Decisions<br><br>Leverage SQL, dashboards, and analytics tools to uncover where agents lose time and where processes break down. Quantify the impact of tooling gaps and prioritize the highest-leverage improvements. Build frameworks to monitor agent efficiency KPIs and early-warning signals.<br><br>Contribute as a CX Generalist<br><br>Support other strategic CX initiatives such as service quality improvements, journey redesign, and operational excellence programs. Contribute to building scalable frameworks, SOPs, and playbooks for support operations. Adapt as priorities evolve — this role is designed to grow with the business<br><br>????‍♂️ The Magic You Bring<br><br>4–6 years of experience in Support Operations, Product Operations, Customer Experience, Strategy, Consulting, or similar analytical roles within tech, marketplaces, or fast-paced environments. Strong analytical skills — ability to structure ambiguous problems and break them down into actionable components. Hands-on experience working with data (SQL, Excel, BI tools). Experience gathering requirements and partnering with Product and Engineering to ship tools or features. A process-improvement mindset — you instinctively look for ways to streamline, standardize, and automate. Strong stakeholder management and communication skills. Comfort working in ambiguity and ownership-driven environments. A bias for action and strong follow-through.<br><br>Inside Snoonu’s Universe<br><br>Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.<br><br>The Dream We’re Chasing<br><br>To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.<br><br>The Quest We’re On<br><br>To radically transform how people live by leveraging technology to connect them with endless possibilities.<br><br>Our Everyday Superpowers<br><br>???? Be Customer Obsessed: “Focus on the customer and all else will follow.”<br><br>???? Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.”<br><br>???? Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.”<br><br>????Lead by Example and Take Ownership: “Be the change you want to see and take ownership.”<br><br>???? Work Smart and Deliver Results: “You can do more by doing less, better, and faster.”<br><br>????‍???? It's All About People: “Be a team player; together we are stronger.”<br><br>Perks & Worklife Magic At Snoonu<br><br>???? Global Vibes – Collaborate with a worldwide crew.<br><br>???? Brain Boosters – Learning budgets, access to courses, and tools for your growth.<br><br>???? Builder’s Playground – Own your tasks, own your path! We’re big on autonomy.<br><br>????️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.<br><br>????️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.<br><br>Great Place to Work® Certified<br><br>We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.<br><br>Certified for Excellence<br><br>Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.<br><br>Beyond the Code: Giving Back Matters<br><br>We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission.<br><br>Diversity Isn’t Just a Buzzword<br><br>At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.<br><br>Let’s Build the Future Together<br><br>Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together.<br><br>Stay in the loop—connect with us on Linked In!

???? Welcome to Your Next Adventure!<br><br>We are looking for an Agent Tools Strategy & Operations Specialist to own the tooling and processes that power our support agents — and to make every agent faster, more accurate, and more effective.<br><br>This role sits at the intersection of operations and product. You will define what our agent tools need to do, streamline the processes agents follow, and partner with Product and Engineering to build and improve the systems that make seamless, semi-automated support possible. You will ultimately move the classic support metrics — handle time, first contact resolution, and quality — but through a process and tooling lens, not through direct management of the agent team.<br><br>This is a strategic, data-driven position. We are looking for a brilliant generalist who can deeply own the agent-experience problem space today while evolving into broader CX strategic initiatives as the organization grows.<br><br>???? What You’ll Get Your Hands On<br><br>Own the Agent Tooling & Process Problem End-to-End<br><br>Understand, at an operations level, what agents need from their tools — and translate that into clear functional requirements and roadmaps. Map and streamline the end-to-end processes agents follow, removing friction, manual steps, and rework. Own the strategy and operations of core tooling capabilities such as case management and routing, agent assignment and capacity management, customer identification, and consolidation of fragmented tools into a unified workflow. Identify where semi-automation, templating, and guided workflows can reduce effort and error.<br><br>Partner with Product & Engineering to Build the Tools<br><br>Define product feature requirements and roadmaps together with Product and Engineering. Develop project plans across stakeholder groups to ensure successful development and deployment of features. Act as the quality-assurance arm of development — flag critical quality blockers and risks ahead of feature launches. Drive continuous improvement post-launch through defect tracking and remediation.<br><br>Drive Support Operations Metrics Through Tooling<br><br>Move the core support metrics — average handle time (AHT), first contact resolution (FCR), resolution time, and quality — by improving processes and tools rather than managing people. Build reporting and diagnostics that connect tooling and process changes to metric movement. Design experiments and pilots to validate that a tooling or process change actually improves agent efficiency and customer outcomes before scaling it.<br><br>Use Data to Drive Decisions<br><br>Leverage SQL, dashboards, and analytics tools to uncover where agents lose time and where processes break down. Quantify the impact of tooling gaps and prioritize the highest-leverage improvements. Build frameworks to monitor agent efficiency KPIs and early-warning signals.<br><br>Contribute as a CX Generalist<br><br>Support other strategic CX initiatives such as service quality improvements, journey redesign, and operational excellence programs. Contribute to building scalable frameworks, SOPs, and playbooks for support operations. Adapt as priorities evolve — this role is designed to grow with the business<br><br>????‍♂️ The Magic You Bring<br><br>4–6 years of experience in Support Operations, Product Operations, Customer Experience, Strategy, Consulting, or similar analytical roles within tech, marketplaces, or fast-paced environments. Strong analytical skills — ability to structure ambiguous problems and break them down into actionable components. Hands-on experience working with data (SQL, Excel, BI tools). Experience gathering requirements and partnering with Product and Engineering to ship tools or features. A process-improvement mindset — you instinctively look for ways to streamline, standardize, and automate. Strong stakeholder management and communication skills. Comfort working in ambiguity and ownership-driven environments. A bias for action and strong follow-through.<br><br>Inside Snoonu’s Universe<br><br>Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.<br><br>The Dream We’re Chasing<br><br>To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.<br><br>The Quest We’re On<br><br>To radically transform how people live by leveraging technology to connect them with endless possibilities.<br><br>Our Everyday Superpowers<br><br>???? Be Customer Obsessed: “Focus on the customer and all else will follow.”<br><br>???? Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.”<br><br>???? Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.”<br><br>????Lead by Example and Take Ownership: “Be the change you want to see and take ownership.”<br><br>???? Work Smart and Deliver Results: “You can do more by doing less, better, and faster.”<br><br>????‍???? It's All About People: “Be a team player; together we are stronger.”<br><br>Perks & Worklife Magic At Snoonu<br><br>???? Global Vibes – Collaborate with a worldwide crew.<br><br>???? Brain Boosters – Learning budgets, access to courses, and tools for your growth.<br><br>???? Builder’s Playground – Own your tasks, own your path! We’re big on autonomy.<br><br>????️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.<br><br>????️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.<br><br>Great Place to Work® Certified<br><br>We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.<br><br>Certified for Excellence<br><br>Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.<br><br>Beyond the Code: Giving Back Matters<br><br>We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission.<br><br>Diversity Isn’t Just a Buzzword<br><br>At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.<br><br>Let’s Build the Future Together<br><br>Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together.<br><br>Stay in the loop—connect with us on Linked In!

About QNB<br><br>Established in 1964 as the country’s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region.<br><br>QNB Group’s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines.<br><br>QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard & Poor’s (A), Moody’s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications.<br><br>Based on the Group’s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine.<br><br>QNB Group has an active community support program and sponsors various social, educational and sporting events.<br><br>Job Summary<br><br>The Assistant Vice President, Asset Management Middle Office / Performance & Risk Analyst is responsible for calculating, analyzing, and reporting portfolio performance and risk metrics across QNB Asset Management’s investment products. The role includes preparing customized client performance reports, supporting benchmark comparisons, conducting attribution and transaction cost analysis, and maintaining consistency with performance standards such as GIPS. This role collaborates closely with investment teams, product specialists, and compliance to ensure that reporting is accurate, insightful, and aligned with internal and regulatory requirements.<br><br>Main Responsibilities<br><br> Shareholder & Financial: Calculate portfolio performance and risk across asset classes and benchmark against strategic targets Conduct performance & risk attribution analysis, identifying contributions from asset allocation, security selection, currency, and style factors Build customized reports based on client requirements Generate and interpret risk-adjusted return metrics (e.g., Sharpe ratio, alpha, beta, tracking error, volatility) Analyze fund expenses, transaction costs, and fees to support transparency and cost benchmarking Collaborate with investment managers to optimize fund structures based on historical performance trends Maintain and improve performance measurement tools, templates, and data pipelines Prepare composite performance summaries in compliance with GIPS reporting standards Contribute to automation and quality control for recurring client and internal reports Implements KPI’s and best practices for Assistant Vice President, Asset Management Middle Office Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank. Act within the limits of the powers delegated to the incumbent. Customer (Internal & External): Maintain up-to-date knowledge of performance attribution models, risk metrics, and fund structures Continuously develop reporting skills using advanced Excel, SQL, VBA, and BI tools Participate in internal workshops and cross-functional sessions with Product, Investment, and Business Control teams Support the team in adopting automation tools and improving dashboard visualizations To assist customers in all their queries on Bank’s product and seek solution to their requests. Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time. Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives. Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required. Internal (Processes, Products, Regulatory): Collaborate with Investment Management and Product to ensure accurate, relevant reporting Work closely with Trade Support & Data, and Business Control to ensure data inputs meet regulatory and internal guidelines Proactively flag data discrepancies, outliers, or reporting exceptions Learning & Knowledge: Proactively identify areas for professional development of self and undertake development activities. Seek out opportunities to remain current with all developments in professional field. Legal, Regulatory, and Risk Framework Responsibilities: Comply with all applicable legal, regulatory and internal compliance requirements including, but not limited to, Group Compliance Policies and Procedures (AML & CTF, Sanctions Policy, Data Protection Policy, Fraud Control Policy, Whistle Blowing Policy, Conflict of Interest and Insider Dealing Policy). Understand and effectively perform your role under the Three Lines of Defense principle to identify measure, monitor, manage and report risks. Ensure systematic good outcomes for clients in accordance with Conduct Risk policy. Support the framework of RCSA, KRI, Incident reporting and remediation, as appropriate, in accordance with the Operational Risk Management requirements. Maintain appropriate knowledge to ensure full qualification to undertake the role. Complete all mandatory training provided by the Bank, attain, and maintain the required levels of competence. Attend mandatory (internal and external) seminars as instructed by the Bank. Other: Ensure high standards of data protection and confidentiality to safeguard commercially sensitive information. Maintaining utmost confidentiality concerning customer and internal bank information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management of QNB, Audit and Compliance functions, and relevant Regulators. Maintain high professional standards to uphold QNB's reputation and to strengthen its market leadership position. All other ad hoc duties/activities related to QNB that management might request from time to time.<br><br>Education And Experience Requirements<br><br> Bachelor’s degree in Finance, Mathematics, Economics, or related quantitative field CFA Level I or CIPM (Certificate in Investment Performance Measurement) preferred Minimum of 10 years of experience in performance analysis, risk attribution, or investment operations in asset management or financial services Proficiency in performance measurement tools, GIPS reporting frameworks, and attribution methodologies Hands-on experience with Excel, Python, SQL, or BI tools (e.g., Power BI, Tableau) Deep understanding of performance attribution, benchmark alignment, and client reporting Knowledge of risk-adjusted return metrics and investment mandates Ability to translate complex data into clear client-facing insights Excellent oral and written communication skills (including report writing) in English and Arabic. Good interpersonal and presentation skills. Understanding of the relevant laws, regulations, and practices. Ability to make decisions and follow through with initiatives. Personal integrity and self-management. Planning, organizing, and analytical ability. Results oriented. Strong analytical skills and the ability to communicate both verbally and in writing with all levels of management.<br><br>Note: you will be required to attach the following:<br><br>Resume/CVCopy of Passport or QID Copy of Education Certificate Copy of Birth Certificate

About QNB<br><br>Established in 1964 as the country’s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region.<br><br>QNB Group’s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines.<br><br>QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard & Poor’s (A), Moody’s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications.<br><br>Based on the Group’s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine.<br><br>QNB Group has an active community support program and sponsors various social, educational and sporting events.<br><br>Job Summary<br><br>The Assistant Vice President, Asset Management Middle Office / Performance & Risk Analyst is responsible for calculating, analyzing, and reporting portfolio performance and risk metrics across QNB Asset Management’s investment products. The role includes preparing customized client performance reports, supporting benchmark comparisons, conducting attribution and transaction cost analysis, and maintaining consistency with performance standards such as GIPS. This role collaborates closely with investment teams, product specialists, and compliance to ensure that reporting is accurate, insightful, and aligned with internal and regulatory requirements.<br><br>Main Responsibilities<br><br> Shareholder & Financial: Calculate portfolio performance and risk across asset classes and benchmark against strategic targets Conduct performance & risk attribution analysis, identifying contributions from asset allocation, security selection, currency, and style factors Build customized reports based on client requirements Generate and interpret risk-adjusted return metrics (e.g., Sharpe ratio, alpha, beta, tracking error, volatility) Analyze fund expenses, transaction costs, and fees to support transparency and cost benchmarking Collaborate with investment managers to optimize fund structures based on historical performance trends Maintain and improve performance measurement tools, templates, and data pipelines Prepare composite performance summaries in compliance with GIPS reporting standards Contribute to automation and quality control for recurring client and internal reports Implements KPI’s and best practices for Assistant Vice President, Asset Management Middle Office Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank. Act within the limits of the powers delegated to the incumbent. Customer (Internal & External): Maintain up-to-date knowledge of performance attribution models, risk metrics, and fund structures Continuously develop reporting skills using advanced Excel, SQL, VBA, and BI tools Participate in internal workshops and cross-functional sessions with Product, Investment, and Business Control teams Support the team in adopting automation tools and improving dashboard visualizations To assist customers in all their queries on Bank’s product and seek solution to their requests. Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time. Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives. Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required. Internal (Processes, Products, Regulatory): Collaborate with Investment Management and Product to ensure accurate, relevant reporting Work closely with Trade Support & Data, and Business Control to ensure data inputs meet regulatory and internal guidelines Proactively flag data discrepancies, outliers, or reporting exceptions Learning & Knowledge: Proactively identify areas for professional development of self and undertake development activities. Seek out opportunities to remain current with all developments in professional field. Legal, Regulatory, and Risk Framework Responsibilities: Comply with all applicable legal, regulatory and internal compliance requirements including, but not limited to, Group Compliance Policies and Procedures (AML & CTF, Sanctions Policy, Data Protection Policy, Fraud Control Policy, Whistle Blowing Policy, Conflict of Interest and Insider Dealing Policy). Understand and effectively perform your role under the Three Lines of Defense principle to identify measure, monitor, manage and report risks. Ensure systematic good outcomes for clients in accordance with Conduct Risk policy. Support the framework of RCSA, KRI, Incident reporting and remediation, as appropriate, in accordance with the Operational Risk Management requirements. Maintain appropriate knowledge to ensure full qualification to undertake the role. Complete all mandatory training provided by the Bank, attain, and maintain the required levels of competence. Attend mandatory (internal and external) seminars as instructed by the Bank. Other: Ensure high standards of data protection and confidentiality to safeguard commercially sensitive information. Maintaining utmost confidentiality concerning customer and internal bank information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management of QNB, Audit and Compliance functions, and relevant Regulators. Maintain high professional standards to uphold QNB's reputation and to strengthen its market leadership position. All other ad hoc duties/activities related to QNB that management might request from time to time.<br><br>Education And Experience Requirements<br><br> Bachelor’s degree in Finance, Mathematics, Economics, or related quantitative field CFA Level I or CIPM (Certificate in Investment Performance Measurement) preferred Minimum of 10 years of experience in performance analysis, risk attribution, or investment operations in asset management or financial services Proficiency in performance measurement tools, GIPS reporting frameworks, and attribution methodologies Hands-on experience with Excel, Python, SQL, or BI tools (e.g., Power BI, Tableau) Deep understanding of performance attribution, benchmark alignment, and client reporting Knowledge of risk-adjusted return metrics and investment mandates Ability to translate complex data into clear client-facing insights Excellent oral and written communication skills (including report writing) in English and Arabic. Good interpersonal and presentation skills. Understanding of the relevant laws, regulations, and practices. Ability to make decisions and follow through with initiatives. Personal integrity and self-management. Planning, organizing, and analytical ability. Results oriented. Strong analytical skills and the ability to communicate both verbally and in writing with all levels of management.<br><br>Note: you will be required to attach the following:<br><br>Resume/CVCopy of Passport or QID Copy of Education Certificate Copy of Birth Certificate

About QNB<br><br>Established in 1964 as the country’s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region.<br><br>QNB Group’s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines.<br><br>QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard & Poor’s (A), Moody’s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications.<br><br>Based on the Group’s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine.<br><br>QNB Group has an active community support program and sponsors various social, educational and sporting events.<br><br>Job Summary<br><br>The Assistant Vice President, Asset Management Middle Office / Performance & Risk Analyst is responsible for calculating, analyzing, and reporting portfolio performance and risk metrics across QNB Asset Management’s investment products. The role includes preparing customized client performance reports, supporting benchmark comparisons, conducting attribution and transaction cost analysis, and maintaining consistency with performance standards such as GIPS. This role collaborates closely with investment teams, product specialists, and compliance to ensure that reporting is accurate, insightful, and aligned with internal and regulatory requirements.<br><br>Main Responsibilities<br><br> Shareholder & Financial: Calculate portfolio performance and risk across asset classes and benchmark against strategic targets Conduct performance & risk attribution analysis, identifying contributions from asset allocation, security selection, currency, and style factors Build customized reports based on client requirements Generate and interpret risk-adjusted return metrics (e.g., Sharpe ratio, alpha, beta, tracking error, volatility) Analyze fund expenses, transaction costs, and fees to support transparency and cost benchmarking Collaborate with investment managers to optimize fund structures based on historical performance trends Maintain and improve performance measurement tools, templates, and data pipelines Prepare composite performance summaries in compliance with GIPS reporting standards Contribute to automation and quality control for recurring client and internal reports Implements KPI’s and best practices for Assistant Vice President, Asset Management Middle Office Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank. Act within the limits of the powers delegated to the incumbent. Customer (Internal & External): Maintain up-to-date knowledge of performance attribution models, risk metrics, and fund structures Continuously develop reporting skills using advanced Excel, SQL, VBA, and BI tools Participate in internal workshops and cross-functional sessions with Product, Investment, and Business Control teams Support the team in adopting automation tools and improving dashboard visualizations To assist customers in all their queries on Bank’s product and seek solution to their requests. Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time. Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives. Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required. Internal (Processes, Products, Regulatory): Collaborate with Investment Management and Product to ensure accurate, relevant reporting Work closely with Trade Support & Data, and Business Control to ensure data inputs meet regulatory and internal guidelines Proactively flag data discrepancies, outliers, or reporting exceptions Learning & Knowledge: Proactively identify areas for professional development of self and undertake development activities. Seek out opportunities to remain current with all developments in professional field. Legal, Regulatory, and Risk Framework Responsibilities: Comply with all applicable legal, regulatory and internal compliance requirements including, but not limited to, Group Compliance Policies and Procedures (AML & CTF, Sanctions Policy, Data Protection Policy, Fraud Control Policy, Whistle Blowing Policy, Conflict of Interest and Insider Dealing Policy). Understand and effectively perform your role under the Three Lines of Defense principle to identify measure, monitor, manage and report risks. Ensure systematic good outcomes for clients in accordance with Conduct Risk policy. Support the framework of RCSA, KRI, Incident reporting and remediation, as appropriate, in accordance with the Operational Risk Management requirements. Maintain appropriate knowledge to ensure full qualification to undertake the role. Complete all mandatory training provided by the Bank, attain, and maintain the required levels of competence. Attend mandatory (internal and external) seminars as instructed by the Bank. Other: Ensure high standards of data protection and confidentiality to safeguard commercially sensitive information. Maintaining utmost confidentiality concerning customer and internal bank information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management of QNB, Audit and Compliance functions, and relevant Regulators. Maintain high professional standards to uphold QNB's reputation and to strengthen its market leadership position. All other ad hoc duties/activities related to QNB that management might request from time to time.<br><br>Education And Experience Requirements<br><br> Bachelor’s degree in Finance, Mathematics, Economics, or related quantitative field CFA Level I or CIPM (Certificate in Investment Performance Measurement) preferred Minimum of 10 years of experience in performance analysis, risk attribution, or investment operations in asset management or financial services Proficiency in performance measurement tools, GIPS reporting frameworks, and attribution methodologies Hands-on experience with Excel, Python, SQL, or BI tools (e.g., Power BI, Tableau) Deep understanding of performance attribution, benchmark alignment, and client reporting Knowledge of risk-adjusted return metrics and investment mandates Ability to translate complex data into clear client-facing insights Excellent oral and written communication skills (including report writing) in English and Arabic. Good interpersonal and presentation skills. Understanding of the relevant laws, regulations, and practices. Ability to make decisions and follow through with initiatives. Personal integrity and self-management. Planning, organizing, and analytical ability. Results oriented. Strong analytical skills and the ability to communicate both verbally and in writing with all levels of management.<br><br>Note: you will be required to attach the following:<br><br>Resume/CVCopy of Passport or QID Copy of Education Certificate Copy of Birth Certificate

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><u><b>Job Summary</b></u> <br></span><p><span><span><span><span>The Senior Business Analyst drives data-driven decision-making by analyzing market trends and campaign performance. The role provides strategic insights to optimize marketing efforts and enhance customer engagement. Additionally, the role supports cross-functional teams with actionable business intelligence to achieve organizational goals.</span></span></span></span></p><br> <br><br><u><b>Job Responsibilities 1</b></u> <br><p><span><span><span>Conduct in-depth market research to identify trends, opportunities, and competitive positioning.</span></span></span></p><br> <p><span><span><span>Analyze marketing campaign performance and ROI, providing actionable insights for improvement.</span></span></span></p><br> <p><span><span><span>Collect, manage, and analyze large datasets from multiple sources to inform marketing strategies.</span></span></span></p><br> <p><span><span><span>Develop and maintain customer segmentation models to enhance targeting and personalization efforts.</span></span></span></p><br> <p><span><span><span>Create detailed reports and dashboards that summarize key metrics and findings for senior management.</span></span></span></p><br> <p><span><span><span>Provide strategic recommendations based on data analysis to support marketing initiatives and business goals.</span></span></span></p><br> <p><span><span><span>Work closely with cross-functional teams, including sales, product development, and finance, to align marketing strategies with business objectives.</span></span></span></p><br> <p><span><span><span>Utilize predictive modeling techniques to forecast market trends and consumer behavior.</span></span></span></p><br> <p><span><span><span>Monitor and analyze competitors' marketing activities to identify strengths, weaknesses, opportunities, and threats.</span></span></span></p><br> <p><span><span>Stay updated with the latest marketing analytics tools and techniques, and continuously seek opportunities to improve processes and methodologies.</span></span></p><br> <br><br><u><b>Job Responsibilities 2</b></u> <br><br><b>Additional Responsibilities 3</b> <br><br><u><b>Job Knowledge &amp; Skills</b></u> <br><p><span><span><span><span><span><span>Proficiency in data analysis, statistical methods, and predictive modeling to derive actionable insights.</span></span></span></span></span></span></p><br> <p><span><span><span><span><span><span>Deep understanding of marketing principles, digital marketing strategies, and market research techniques.</span></span></span></span></span></span></p><br> <p><span><span><span><span><span><span>Expertise in analytics software (e.g., SQL, Python, R) and data visualization tools (e.g., Tableau, Power BI).</span></span></span></span></span></span></p><br> <p><span><span><span><span><span><span>Strong written and verbal communication skills to effectively present findings and recommendations to stakeholders.</span></span></span></span></span></span></p><br> <p><span><span><span><span><span><span>Ability to identify problems, develop solutions, and implement strategies to drive business performance.</span></span></span></span></span></span></p><br> <p><span><span>ERP knowledge preferably SAP functional skills are a requirement to be successful in this role.</span></span></p><br> <br><br><u><b>Job Experience</b></u> <br><p>Minimum 5 years working experience, 3 years relevant working experience, 2 years GCC experience is a plus</p><br> <br><br><u><b>Competencies</b></u> <br>Build High-Performing Teams<br>Agility<br>Provide Direction<br>AI Fluency<br>Business Model Analysis L3<br>Data Analytics L3<br>Data Science L3<br>Leadership<br>Quality<br>Report Management L3<br>Resilience<br>Stakeholder Engagement and Communication L3<br><br><br><u><b>Education</b></u> <br>Bachelor's Degree in Business Administration or Marketing, Graphics Design or any related<br><br><br><br> </div>

<p>Multiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high-impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials. Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant)</li><li>Excellent communication and presentation skills, able to interface effectively with technical and non-technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands-on product demos independently.</li><li>Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on-premise, and hybrid deployment models.</li><li>Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization.</li><li>Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, HuggingFace model hub).</li><li>Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200).</li><li>Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput).</li><li>Hands-on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face).</li><li>Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field.</li><li>Must be available to travel as needed for meetings, conferences, and project requirements.</li><li>Languages: Arabic and English</li></ul><p>Preferred Qualifications:</p><ul><li>Experience with Computer Vision models, Speech models, Vision-Language models, and other modalities.</li><li>Experience with AI model optimization, quantization, or deployment to edge devices.</li><li>Hands-on experience designing RAG pipelines and/or multi-agent systems.</li><li>Experience designing data architectures (batch &amp; streaming) and working with big data technologies.</li><li>Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the respective country AI Act.</li></ul>