Head of Data Science & Asset Risk

Other Positions

Dubai

June 26, 2026

Application ends: September 24, 2026

REQUIREMENTS

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.
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.

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.