Head of Data Science & Asset Risk
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Key skills for this role
About the Role
Al-Futtaim seeks a Head of Data Science & Asset Risk to lead analytics, forecasting, and risk intelligence for its automotive and financial services portfolio. The role combines financial control, risk management, and data science leadership to drive pricing, provisioning, and capital allocation decisions.
Key Skills for This Role
Responsibilities
- Own end to end analytics, forecasting, and risk intelligence for the automotive and financial services portfolio
- Turn data, AI, and market intelligence into financial outcomes that drive pricing, leasing, provisioning, capital allocation, and portfolio strategy
- Maintain authoritative market indices, price curves, and forward looking scenarios for all brands, powertrains, and segments
- Define and enforce the Asset Risk Framework covering market risk, EV transition risk, concentration risk, and volatility
- Provide risk driven inputs to IFRS9, provisions, ECL, and capital planning
- Ensure all models are auditable, explainable, and regulator ready
- Act as the single source of truth for portfolio value, forward price risk, stress scenarios, and financial impact of market movements
- Chair the Residual Value & Risk Committees and translate complex analytics into clear financial actions for CFO, CRO, and Executive Management
- Influence vehicle pricing and lease structures, portfolio profitability and risk appetite, provisioning and capital allocation, OEM negotiations, and product launches
- Own the AI driven asset intelligence platform including data pipelines, forecasting, valuation, and risk models
- Lead a senior team of Data Scientists and Analytics specialists
Requirements
- 10+ years of experience in statistics, data science, risk management, pricing, forecasting, or financial modelling
- Experience in automotive, asset finance, banking, insurance, or management of large portfolios
- Demonstrated ownership of models crucial to P&L impact
- Strong background in IFRS9, ECL, stress testing, or portfolio risk management
- Comfortable operating at CFO, CRO, and board level interactions
Full Job Posting
Overview Of The Role
- The Head of Data Science & Asset Risk holds a pivotal role within Al Futtaim's financial services division, responsible for overseeing analytics, forecasting, and risk intelligence.
- The key purpose is to optimize the company’s automotive and financial services portfolio using data driven insights.
- This role combines financial control, risk management, and analytics leadership to support executive and board level decision making.
- Key responsibilities include maintaining market indices and price curves, defining asset risk frameworks, providing risk driven inputs to capital planning, and acting as the technical authority on asset valuation and risk.
- Success is measured by the ability to turn data and AI into explainable, regulator ready financial outcomes and to influence strategic decisions that impact P&L, balance sheet, and return on assets.
What You Will Do
- Own end to end analytics, forecasting, and risk intelligence for the automotive and financial services portfolio.
- Turn data, AI, and market intelligence into financial outcomes that drive pricing, leasing, provisioning, capital allocation, and portfolio strategy.
- Maintain authoritative market indices, price curves, and forward looking scenarios for all brands, powertrains, and segments.
- Define and enforce the Asset Risk Framework covering market risk, EV transition risk, concentration risk, and volatility.
- Provide risk driven inputs to IFRS9, provisions, ECL, and capital planning.
- Ensure all models are auditable, explainable, and regulator ready.
- Act as the single source of truth for portfolio value, forward price risk, stress scenarios, and financial impact of market movements.
- Chair the Residual Value & Risk Committees and translate complex analytics into clear financial actions for CFO, CRO, and Executive Management.
- Influence vehicle pricing and lease structures, portfolio profitability and risk appetite, provisioning and capital allocation, OEM negotiations, and product launches.
- Own the AI driven asset intelligence platform including data pipelines, forecasting, valuation, and risk models.
- Lead a senior team of Data Scientists and Analytics specialists.
Required Skills To Be Successful
- Advanced expertise in data science and statistical analysis.
- Proficient in risk management and financial modelling.
- Strong leadership and team management capabilities.
- Excellent communication skills for executive level reporting and committee participation.
What Qualifies You For The Role
- 10+ years of experience in statistics, data science, risk management, pricing, forecasting, or financial modelling.
- Experience in automotive, asset finance, banking, insurance, or management of large portfolios.
- Demonstrated ownership of models crucial to P&L impact.
- Strong background in IFRS9, ECL, stress testing, or portfolio risk management.
- Comfortable operating at CFO, CRO, and board level interactions.
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