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risk data modelling expert

PROZ TECHNOLOGIES

JOB DESCRIPTIONThe Risk Data &amp; Modelling Expert oversees end-to-end processing of tax data assets, analyzes cross-system tax information, and develops analytical and predictive models to support compliance risk assessment and strategic decision-making. The role coordinates with IT on analytical tools, reviews international and exchanged tax data, and advises on data governance practices to ensure quality, consistency, and secure access for GTA departments..Key Responsibilities<ul><li>Tax Data Assets &amp; Governance</li><li>Oversee the end-to-end cycle of tax data, including acquisition from internal and external systems, validation, cleansing, storage, and evaluation.</li></ul>Risk Data Analysis &amp; Modelling<ul><li>Analyze tax data using statistical and exploratory techniques to Identify patterns relevant to compliance risk and operational performance.</li><li>Develop and Review predictive and analytical models that Support risk-based assessment, audit targeting, and monitoring of tax gaps.</li></ul>Dashboards, Analytics &amp; Strategic Insights<ul><li>Develop advanced dashboards and analytical views to Support operational monitoring and strategic planning across GTA.</li><li>Prepare structured analytical outputs and reports for senior management, including key indicators, trends, and sectoral insights.</li></ul>Stakeholder Engagement &amp; Requirements<ul><li>Develop and Monitor data governance practices to Ensure tax data quality, consistency, security, and controlled access, including maintenance of central data dictionaries and metadata.</li></ul>SKILLS &amp; ABILITIES<ul><li>Strong vendor and partner management capability in complex, multi-vendor technology or transformation programs.</li><li>Good understanding of technology delivery contracts, service levels, acceptance criteria, and governance mechanisms.</li><li>Ability to manage commercial, delivery, and relationship dimensions in parallel while maintaining strategic focus.</li><li>Strong negotiation, conflict resolution, and performance management skills.</li><li>Ability to interpret technical and operational delivery topics sufficiently to challenge vendors and coordinate with architects/project teams.</li><li>Excellent stakeholder communication and reporting skills, including executive-level summaries and governance materials.</li><li>Coordinate regular meetings with relevant departments to Assess data and analytics needs, Identify gaps, and Align data sources and structures with operational requirements.</li></ul>Tools, Systems &amp; International Data<ul><li>Coordinate with IT to Develop and Enhance analytical tools, including predictive analytics and automated reporting systems that Support tax risk evaluation and decision-making.</li><li>Analyze data received through tax information exchange mechanisms and Evaluate its relevance for risk analysis and compliance activities.</li></ul>Support to Internal &amp; External Requests<ul><li>Advise regulatory and operational units on the use of data and analytical outputs in urgent or high-priority cases requiring rapid information.</li></ul>Review and Prepare analytical inputs for requests from International Cooperation department related to tax data, in line with applicable frameworks.<ul><li>Prepare and Review lists of missing or incomplete tax data needed to Support official tasks and risk analysis.</li></ul>Tools, Systems &amp; International Data<ul><li>Coordinate with IT to Develop and Enhance analytical tools, including predictive analytics and automated reporting systems that Support tax risk evaluation and decision-making.</li></ul>Support to Internal &amp; External Requests<ul><li>Advise regulatory and operational units on the use of data and analytical outputs in urgent or high-priority cases requiring rapid information.</li><li>Review and Prepare analytical inputs for requests from International Cooperation department related to tax data, in line with applicable frameworks.</li><li>Analyze data received through tax information exchange mechanisms and Evaluate its relevance for risk analysis and compliance activities.</li></ul>Preferred Qualifications &amp; Experience<ul><li>Bachelor&rsquo;s degree in Data Science, Statistics, Economics, Computer Science, or related field.</li><li>Master&rsquo;s degree in a related field is preferred.</li><li>Relevant professional certifications are an advantage.</li><li>16+ years of relevant experience in data analytics, statistical modelling, or risk analytics in tax administration, government, or a related financial/compliance environment.</li><li>Demonstrated knowledge of tax data structures, analytical tools, and data governance concepts.</li><li>Strong data analysis and modelling skills using analytical and BI tools.</li><li>Ability to translate complex data into clear insights and decision-support outputs.</li><li>Effective coordination and communication with technical and non-technical stakeholders.</li><li>Attention to data quality, structure, and security.</li></ul>Job Types: Permanent, Contract Contract length: 12 monthsPay: Up to QAR20,000.00 per monthWork Location: In person

Risk Data & Modelling Expert

Confidential

<div>
 
 The Tax Compliance Risk Data &amp; Modelling Expert oversees end-to-end processing of tax data assets, analyzes cross-system tax information, and develops analytical and predictive models to support compliance risk assessment and strategic decision-making. The role coordinates with IT on analytical tools, reviews international and exchanged tax data, and advises on data governance practices to ensure quality, consistency, and secure access for Tax departments.
 
 
 
 Tax Data Assets &amp; Governance
 
 
 <ul>
 <li>
 Oversee the end-to-end cycle of tax data, including acquisition from internal and external systems, validation, cleansing, storage, and evaluation.
 </li>
 <li>
 Develop and Monitor data governance practices to Ensure tax data quality, consistency, security, and controlled access, including maintenance of central data dictionaries and metadata.
 </li>
 </ul>
 
 
 Risk Data Analysis &amp; Modelling
 
 
 <ul>
 <li>
 Analyze tax data using statistical and exploratory techniques to Identify patterns relevant to compliance risk and operational performance.
 </li>
 <li>
 Develop and Review predictive and analytical models that Support risk-based assessment, audit targeting, and monitoring of tax gaps.
 </li>
 </ul>
 
 
 Dashboards, Analytics &amp; Strategic Insights
 
 
 <ul>
 <li>
 Develop advanced dashboards and analytical views to Support operational monitoring and strategic planning across TAX Authority.
 </li>
 <li>
 Prepare structured analytical outputs and reports for senior management, including key indicators, trends, and sectoral insights.
 </li>
 </ul>
 
 
 Stakeholder Engagement &amp; Requirements
 
 
 <ul>
 <li>
 Coordinate regular meetings with relevant departments to Assess data and analytics needs, Identify gaps, and Align data sources and structures with operational requirements.
 </li>
 <li>
 Prepare and Review lists of missing or incomplete tax data needed to Support official tasks and risk analysis.
 </li>
 </ul>
 
 
 Tools, Systems &amp; International Data
 
 
 <ul>
 <li>
 Coordinate with IT to Develop and Enhance analytical tools, including predictive analytics and automated reporting systems that Support tax risk evaluation and decision-making.
 </li>
 <li>
 Analyze data received through tax information exchange mechanisms and Evaluate its relevance for risk analysis and compliance activities.
 </li>
 </ul>
 
 
 Support to Internal &amp; External Requests
 
 
 <ul>
 <li>
 Advise regulatory and operational units on the use of data and analytical outputs in urgent or high-priority cases requiring rapid information.
 </li>
 </ul>
 
 Review and Prepare analytical inputs for requests from International Cooperation department related to tax data, in line with applicable frameworks.
 
 
 
 Preferred Qualifications &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Statistics, Economics, Computer Science, or related field.
 </li>
 <li>
 Master&rsquo;s degree in a related field is preferred.
 </li>
 </ul>
 
 Relevant professional certifications are an advantage.
 
 <ul>
 <li>
 16+ years of relevant experience in data analytics, statistical modelling, or risk analytics in tax administration, government, or a related financial/compliance environment.
 </li>
 </ul>
 
 Demonstrated knowledge of tax data structures, analytical tools, and data governance concepts.
 
 <ul>
 <li>
 Strong data analysis and modelling skills using analytical and BI tools.
 </li>
 <li>
 Ability to translate complex data into clear insights and decision-support outputs.
 </li>
 <li>
 Effective coordination and communication with technical and non-technical stakeholders.
 </li>
 </ul>
 
 Attention to data quality, structure, and security.
 
</div>

JOB DESCRIPTIONThe Risk Data &amp; Modelling Analyst supports the processing and analysis of tax data by Collecting and Preparing datasets, Executing basic analytical tasks, and Documenting outputs for review by the Risk Data &amp; Modelling Expert. The role contributes to dashboards and reports, Maintains data and metadata records, and Supports development and testing of analytical tools that enable risk assessment and decision-making across GTA.Key ResponsibilitiesData Collection &amp; Preparation<ul><li>Collect and Prepare tax data from internal and external systems for use in analytical and modelling activities.</li><li>Perform basic data validation, cleaning, and formatting to Support data quality and consistency.</li></ul>Basic Analytics &amp; Modelling Support<ul><li>Execute simple exploratory analyses (such as summaries, trend views, and comparisons) to Support identification of patterns relevant to compliance risk and performance.</li><li>Prepare input tables and intermediate datasets that Contribute to predictive or analytical models developed by senior staff.</li></ul>Dashboards, Reports &amp; Documentation<ul><li>Prepare draft charts, tables, and data extracts for dashboards and analytical reports used by management and operational units.</li><li>Document analytical steps, data sources, and assumptions in working files to Support review and replication of analyses.</li></ul>Stakeholder &amp; Requirements Support<ul><li>Support meetings with departments by Preparing data packs and basic summaries of requested indicators.</li><li>Record and Document data requirements and identified data gaps for follow-up by the Risk Data &amp; Modelling Expert and IT.</li></ul>Tools, Systems &amp; Testing<ul><li>Support analytical tool development by Preparing test datasets, Running simple test cases, and Documenting issues or user feedback.</li><li>Maintain shared templates and reference files used for recurring analyses and reporting.</li></ul>Records Management &amp; Confidentiality<ul><li>Maintain organized and confidential records of datasets, analytical outputs, and shared reports, in line with data governance standards.</li><li>Ensure careful handling of sensitive tax data in all day-to-day activities.</li></ul>Preferred Qualifications &amp; Experience<ul><li>Bachelor&rsquo;s degree in Data Science, Statistics, Economics, Computer Science, Information Systems, or a related field.</li><li>Master&rsquo;s degree in a related field is preferred.</li><li>Relevant professional certifications are an advantage.</li><li>3+ years of relevant experience in data analysis, reporting, or a related analytical role in government, tax, finance, or compliance is preferred; internships and academic projects can be considered.</li><li>Basic familiarity with data analysis tools, databases, or BI/reporting solutions is an advantage.</li><li>Ability to work with data using spreadsheets and basic analytical or BI tools.</li><li>Attention to detail in data preparation, checking, and documentation.</li><li>Basic analytical and problem-solving skills.</li><li>Ability to work collaboratively and follow guidance from more senior data and risk specialists</li></ul>Job Types: Permanent, Contract Contract length: 12 monthsPay: Up to QAR20,000.00 per monthWork Location: In person

Risk Data & Modelling Analyst

Qatar Foundation

<div>
 
 The Asset Management Director will be responsible to provide advisory to the Executive Director, Financial Affairs and Asset Management to maximize the value of QF assets through developing and executing a comprehensive asset management strategy.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Provide expertise in developing and executing the asset portfolio strategy in alignment to organizational strategy
 </li>
 <li>
 Contribute to the development of annual operating and capital budgets, collaborating with teams and imparting property and market knowledge to create comprehensive budgets that meet targeted asset management strategies and objectives
 </li>
 <li>
 Advise on strategies to increase ROI and minimize risk and loss
 </li>
 <li>
 Recommend a value-oriented approach to each asset by analyzing revenue opportunities and providing direction supported by financial models to justify investments and financial decisions
 </li>
 <li>
 Leverage monthly and quarterly financial statements, business intelligence software, and analytical tools to identify portfolio underperformance to budget and/or market benchmarks and collaborate with the relevant team members to correct issues
 </li>
 <li>
 Identify and recommend opportunities to expand assets strategically through partnerships and alliances
 </li>
 <li>
 Review asset management policies and procedure, and make recommendations for potential adjustments
 </li>
 <li>
 Research relevant markets and identify trends and patterns for better asset management practices in the organization
 </li>
 <li>
 Conduct risk analyses, oversee the preparation of financial reports, and develop strategies to maximize asset growth
 </li>
 <li>
 With a thorough knowledge of assets performance, collaborate with revenue management, accounting, financial planning and reporting departments to formulate and execute strategies intended to maximize portfolio value and report performance results to senior management
 </li>
 <li>
 Identify and oversee repositioning opportunities; monitor market trends for opportunities to add value through renovation, expansion or repositioning of the assets and make recommendations accordingly
 </li>
 <li>
 Become an expert on assigned assets through on-site visits, in-depth analysis of industry trends and economic drivers, and maintenance of industry network then collaborate with executives to implement adjustments to asset management strategy to account for market shifts
 </li>
 <li>
 Provide market and leasing assumptions and participate in other due diligence activities as necessary
 </li>
 <li>
 Participate in evaluating and make recommendations for the implementation of new products and services intended to grow auxiliary income, reduce operating expenses, or create operational efficiencies
 </li>
 <li>
 Conduct frequent inspections of assets in assigned portfolio to develop a thorough understanding of each asset and its challenges, assess implementation of strategic initiatives, assess operational and management performance, and identify opportunities for improvement and communicate those opportunities among relevant internal and external teams.
 </li>
 <li>
 Partner, align and facilitate solutions to unique and highly complex problems through clear communication with senior leadership, Internal Audit, Legal, Finance, Risk and Compliance, etc. to advise on efficient execution of asset management and protection strategies
 </li>
 <li>
 Engage and participate in local industry organizations to stay informed on market trends
 </li>
 <li>
 Other reasonable tasks as assigned by supervisor
 </li>
 </ul>
 
 
 
 
 Minimum Knowledge, Skills &amp; Experience:
 
 
 <ul>
 <li>
 Master&rsquo;s degree in a relevant field e.g., Business, Finance, etc. and 8 years of relevant full-time work experience in asset management, 5 of which at a senior supervisory level
 </li>
 <li>
 International experience, preferably in the Middle East; knowledge of QF is an advantage
 </li>
 <li>
 Strong financial background with experience in financial modelling
 </li>
 <li>
 Strategically minded with strong analytical and problem-solving skills
 </li>
 <li>
 Knowledge of economic and accounting principles and practices, the financial markets, and the analysis and reporting of financial data
 </li>
 <li>
 Knowledge of business and management principles involved in strategic planning, resource allocation, human resources modelling, leadership technique, and coordination of people and resources
 </li>
 <li>
 Knowledge of laws, legal codes, court procedures, precedents, government regulations, executive orders, etc.
 </li>
 <li>
 Excellent writing skills with the ability to draft and edit a variety of written reports and communications and to articulate ideas clearly and concisely; Arabic proficiency is an advantage
 </li>
 <li>
 Proficiency in MS Office applications
 </li>
 </ul>
 
 
</div>

Asset Management Director

Commercial Bank

<div>
 
 About Commercial Bank Of Qatar
 
 
 
 Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar&rsquo;s economic development by offering a range of personal, business, government, international and investment services.
 
 
 We believe in empowering our employees, providing them with opportunities for growth and professional development.
 
 
 By Joining us, you&rsquo;ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.
 
 
 Join us in shaping the future of banking!
 
 
 
 Job Summary
 
 
 
 <ul>
 <li>
 Responsible for developing advanced machine learning models for banking use cases including pricing optimization, customer propensity modelling, and recommendation systems.
 </li>
 <li>
 This senior role requires deep expertise in statistical modelling and machine learning combined with substantial banking and financial services domain knowledge .
 </li>
 <li>
 The position focuses on translating complex business problems in areas such as Risk, Finance, Retail Banking, and Wholesale Banking into actionable ML solutions.
 </li>
 <li>
 Will leverage their understanding of banking products, regulatory requirements, and financial metrics to build models that drive measurable business value.
 </li>
 <li>
 The role requires a balance of domain expertise and technical capability, with sufficient programming skills in Python and SQL to develop and deliver working prototypes that can be transitioned to production.
 
 
 </li>
 </ul>
 
 
 Key Accountabilities
 
 
 
 
 <ul>
 <li>
 ML Model Development
 </li>
 <li>
 Design and develop machine learning models for pricing optimization, including dynamic pricing, rate optimization, and fee structures.
 </li>
 <li>
 Build propensity models for customer behavior prediction including churn, cross-sell, upsell, and product adoption.
 </li>
 <li>
 Develop recommendation systems for personalized product offerings, next-best-action, and customer engagement.
 </li>
 <li>
 Banking Domain Application
 </li>
 <li>
 Apply deep banking domain knowledge to frame business problems as ML solutions with measurable outcomes.
 </li>
 <li>
 Partner with Risk, Finance, and business units to identify high-value modeling opportunities.
 </li>
 <li>
 Ensure models incorporate relevant regulatory requirements, risk considerations, and business constraints.
 </li>
 <li>
 Analysis &amp; Insights
 </li>
 <li>
 Conduct exploratory data analysis to identify patterns, relationships, and modeling opportunities in banking data.
 </li>
 <li>
 Translate model outputs into actionable business recommendations and insights.
 </li>
 <li>
 Develop model performance metrics aligned with business KPIs and financial outcomes.
 </li>
 <li>
 Create data visualizations and reports for stakeholder communication.
 </li>
 <li>
 Prototyping &amp; Delivery
 </li>
 <li>
 Develop working prototypes in Python demonstrating model functionality and business value.
 </li>
 <li>
 Create clear documentation of model methodology, assumptions, limitations, and use cases.
 </li>
 <li>
 Collaborate with ML Engineers and AI Engineers to transition prototypes to production systems.
 </li>
 <li>
 Stakeholder Collaboration
 </li>
 <li>
 Partner with business stakeholders to understand requirements and validate model outputs.
 </li>
 <li>
 Present model results, methodology, and recommendations to senior management.
 </li>
 <li>
 Contribute to model governance, validation, and documentation requirements.
 </li>
 <li>
 Ensure compliance with data policies, ethical standards, and regulatory requirements.
 
 
 </li>
 </ul>
 
 Key Competencies
 
 
 
 <ul>
 <li>
 Machine Learning &amp; Statistics
 </li>
 <li>
 Expert knowledge of supervised and unsupervised learning techniques for classification, regression, and clustering.
 </li>
 <li>
 Deep experience with pricing models, propensity modeling, and recommendation systems.
 </li>
 <li>
 Strong foundation in statistical analysis, hypothesis testing, and experimental design.
 </li>
 <li>
 Familiarity with deep learning frameworks (TensorFlow, PyTorch) for advanced use cases.
 </li>
 <li>
 Banking Domain Expertise
 </li>
 <li>
 Comprehensive understanding of banking products (Retail or Corporate business), services, and customer lifecycle.
 </li>
 <li>
 Knowledge of Risk functions including credit risk, market risk, and operational risk frameworks.
 </li>
 <li>
 Understanding of Finance functions including P&amp;L drivers, cost allocation, and profitability analysis.
 </li>
 <li>
 Familiarity with regulatory requirements affecting model development (IFRS 9, Basel, etc.).
 </li>
 <li>
 Technical Skills
 </li>
 <li>
 Python for data analysis and model development (pandas, scikit-learn, XGBoost, etc.).
 </li>
 <li>
 SQL &ndash; Advanced user (Stored Procedures, Window functions, Temp Tables, Recursive Queries).
 </li>
 <li>
 Experience with data visualization and reporting tools.
 </li>
 <li>
 Familiarity with Git (GitHub/GitLab) for version control.
 </li>
 <li>
 Basic understanding of Spark for large-scale data processing.
 </li>
 <li>
 Awareness of MLOps practices and model deployment concepts (MLflow, TFX).
 </li>
 <li>
 Communication &amp; Collaboration
 </li>
 <li>
 Ability to translate complex analytical concepts into business language for non-technical stakeholders.
 </li>
 <li>
 Strong presentation skills for executive-level communication.
 </li>
 <li>
 Experience working with cross-functional teams across business and technology.
 </li>
 <li>
 Agile methodologies (Kanban, Scrum) experience.
 
 
 </li>
 </ul>
 
 Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Finance, Economics, Statistics, Mathematics, or quantitative field strongly preferred.
 </li>
 <li>
 8+ years of experience in data science or quantitative analysis roles.
 </li>
 <li>
 Minimum 5 years of experience in banking or financial services industry is mandatory.
 </li>
 <li>
 Proven track record of delivering ML models in pricing, propensity, or recommendation domains.
 </li>
 <li>
 Background in Risk, Finance, or quantitative functions within banking preferred.
 </li>
 <li>
 Experience with model validation, governance, and regulatory requirements in financial services.
 </li>
 <li>
 Professional certifications in Risk (FRM, PRM) or Finance (CFA) are a plus.
 
 
 </li>
 </ul>
 
 
 Why Commercial Bank?
 
 
 
 
 <ul>
 <li>
 Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance.
 </li>
 <li>
 An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking
 </li>
 <li>
 Opportunities for Global Partnerships &amp; International Exposure, connecting employees with global networks and perspectives.
 </li>
 <li>
 A focus on Employee Well-being &amp; Work-Life Balance, ensuring a healthy and supportive environment for all team members
 </li>
 <li>
 Competitive Compensation &amp; Benefits that ensure our employees are rewarded for their dedication and performance
 </li>
 <li>
 A strong Commitment to Diversity, Equity &amp; Inclusion, fostering a culture that values every individual&rsquo;s unique perspective.
 
 
 </li>
 </ul>
 At Commercial Bank, we don&rsquo;t just offer careers, We shape futures by pioneering
 
 digital transformation
 
 in Qatar&rsquo;s banking sector, blending
 
 digital-first
 
 approach to redefine banking through
 
 innovative
 
 solutions.
 
 
 
 Disclaimer
 
 
 
 We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.
</div>

Senior Data Science Expert

UCC Holding

<div>
 
 
 Role Overview:
 
 
 
 As the Commercial Manager, you will lead the economic evaluation, commercial structuring, and value optimisation of UCC Holding's upstream oil and gas portfolio. You will provide critical economic, fiscal, and commercial insights that inform and guide investment decisions across exploration, development, M&amp;A, and portfolio management.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Lead economic assessments for exploration, development, and producing assets, building and maintaining economic models such as NPV, IRR, breakeven, and cash flow.
 </li>
 <li>
 Conduct scenario, risk, and uncertainty analysis to support key internal investment milestones.
 </li>
 <li>
 Align economic assumptions with corporate price decks and capital allocation frameworks.
 </li>
 <li>
 Evaluate fiscal regimes, PSCs, royalties, tax structures, and identify fiscal optimisation opportunities.
 </li>
 <li>
 Support negotiations with governments, regulators, and partners on fiscal terms.
 </li>
 <li>
 Benchmark global fiscal regimes and assess competitiveness.
 </li>
 <li>
 Provide support for portfolio screening, ranking, and capital prioritisation.
 </li>
 <li>
 Identify portfolio optimisation opportunities such as divestments, farm-ins/-outs, and acquisitions.
 </li>
 <li>
 Provide commercial insights for long-term planning and strategy.
 </li>
 <li>
 Lead the commercial structuring of joint ventures, farm-in/farm-out deals, and strategic partnerships.
 </li>
 <li>
 Assess risk allocation and design commercial frameworks for developments and asset transactions.
 </li>
 <li>
 Contribute to partner negotiations, joint operating agreements (JOAs), and contract drafting.
 </li>
 <li>
 Ensure commercial agreements deliver value and maintain compliance.
 </li>
 <li>
 Track global upstream trends, M&amp;A activity, pricing, cost drivers, and competitor strategies.
 </li>
 <li>
 Provide strategic insights on emerging risks, opportunities, and market conditions.
 </li>
 <li>
 Support the evaluation of new acreage, exploration opportunities, and potential acquisitions.
 </li>
 <li>
 Advise senior leadership on economic and commercial matters for key investment decisions.
 </li>
 <li>
 Lead and mentor a team of analysts.
 </li>
 <li>
 Collaborate with subsurface, development, finance, and business development teams.
 </li>
 <li>
 Present investment cases, portfolio recommendations, and commercial strategies to executives and boards.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience:
 
 
 <ul>
 <li>
 Degree in Economics, Finance, Petroleum Engineering, Geoscience, or related field.
 </li>
 <li>
 10+ years of experience in upstream commercial, economics, or strategy roles, with expertise in exploration, development, and producing assets.
 </li>
 <li>
 Proven expertise in upstream commercial structures and supporting investment committees and major project sanctions.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Advanced economic modelling, valuation, and project development economics.
 </li>
 <li>
 Portfolio optimisation and investment screening expertise.
 </li>
 <li>
 Strong capabilities in risk and uncertainty analysis.
 </li>
 <li>
 Strong commercial negotiation skills.
 </li>
 <li>
 Advanced Excel modelling and use of industry datasets (e.g., Wood Mackenzie).
 </li>
 </ul>
 
 
</div>

Commercial Manager

DOHA BANK

<div>
 
 
 Role Objective
 
 
 
 
 
 
 The Market Risk Analyst will assist in implementing leading market risk practices for Doha Bank and contribute towards methods to enhance risk measurement and mitigation. The incumbent will assist in hedging market risks resulting from changes in market prices and market parameters such as profit rates, exchange rates, volatilities and share prices. The job holder will assist in ascertaining market variables and will perform regulatory risks assignments in accordance with ICAAP and Basel II requirements and assess the Bank&rsquo;s rating vis-&agrave;-vis other players in the market.
 
 
 
 
 
 
 Detailed Roles and Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Assist in implementing sound market practices for the Bank for measuring, monitoring and controlling market risks, in compliance with industry best practices, approved risk policies and procedures, and respective regulators (viz. Qatar Central Bank as well as other regulators in the overseas jurisdictions).
 </li>
 <li>
 Assist in the implementation of the Bank&rsquo;s Market Risk Policy with exposure limits for capital usage and risk exposure of the Bank and assist in translating the same to individual business lines.
 </li>
 <li>
 Consolidate portfolio management data/ other MIS information received from the other market risk sub-functions responsible for Asset Liability Management (ALM) and sensitivity analysis.
 </li>
 <li>
 Assist in producing adequate and accurate reports pertaining to market risk and disseminating the same to the concerned business units/ senior management for their consideration/ corrective action.
 </li>
 <li>
 Formulate risk profiles, representative of the true risks undertaken by the business and ensure it is consistent with market movements.
 </li>
 <li>
 Ensure that all risk approvals meet overall policy guidelines and QCB regulations, specifying the terms and conditions to mitigate the market risks borne/ faced by the Bank.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 :
 
 
 
 
 <ul>
 <li>
 University graduate with a degree in Business or Banking or Finance or any other related discipline.
 </li>
 <li>
 Master&rsquo;s degree in related discipline will be an added advantage.
 </li>
 <li>
 05-08 years of total experience in financial services/banking industry, entailing responsibilities pertaining to the specific area of discipline.
 </li>
 <li>
 Experience in market risk.
 </li>
 </ul>
 
 
 
 
 
 Certifications
 
 
 
 
 
 <ul>
 <li>
 Professional certification/ qualification such as PRM or FRM or CFA or ICFA would be desirable
 </li>
 <li>
 QFSQF Level 3
 </li>
 </ul>
 
 
 
 
 
 Experience in the following areas will be considered an advantage:
 
 
 
 
 
 <ul>
 <li>
 Financial Mathematics/Financial Engineering &ndash; Important as often team has to understand complex derivatives, and FRTB and other advanced Market measure risk measures.
 </li>
 <li>
 Programming &ndash; Python
 </li>
 <li>
 Value at Risk, Expected shortfall modelling
 </li>
 <li>
 Counterparty credit risk, PFE
 </li>
 <li>
 Portfolio management/reporting
 </li>
 <li>
 Liquidity Risk Management
 </li>
 <li>
 Market Risk Management, IRRBB
 </li>
 <li>
 Bloomberg, Treasury System
 </li>
 <li>
 ICAAP
 </li>
 <li>
 ILAAP
 </li>
 </ul>
</div>

Market Risk Analyst

Explore 566+ Risk data modelling expert in Doha this April. Find roles across top companies and apply now to boost your career.

566 risk data modelling expert jobs In Doha

Risk Data & Modelling Expert

Risk Data & Modelling Expert

Risk Data & Modelling Analyst

Asset Management Director

Senior Data Science Expert

Commercial Manager

Market Risk Analyst