Head of Data Science & Asset Risk
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Key skills for this role
About the Role
Responsible for asset lifecycle management, risk assessment, and data-driven financial decisions, requiring expertise in data science, analytics, and leadership.
Key Skills for This Role
Full Job Posting
Overview
- The role is responsible for the full lifecycle of assets and market intelligence, from data to financial decision-making.
- This includes:
- Owning all Residual Value, used-car pricing and market forecasting used across the business
- Maintaining authoritative market indices, price curves and forward-looking scenarios for all brands, powertrains and segments
- Defining and enforcing the Asset Risk Framework covering market risk, EV transition risk, concentration risk and volatility
- Providing risk-driven inputs to IFRS9, provisions, ECL and capital planning
- Ensuring all models are auditable, explainable and regulator-ready
- The Head of Data Science & Asset Risk acts as the single source of truth for:
- Portfolio value
- Forward price risk
- Stress scenarios
- Financial impact of market movements
- This role chairs the Residual Value & Risk Committees, translating complex analytics into clear financial actions for the CFO, CRO and Executive Management.
Strategic & Commercial Impact
- The role directly influences:
- Vehicle pricing and lease structures
- Portfolio profitability and risk appetite
- Provisioning and capital allocation
- OEM negotiations and product launches
- Remarketing and stock strategy
- Decisions supported by this function materially impact P&L, balance sheet and return on assets.
Technology, Data & AI Ownership
- The role owns the group’s AI-driven asset intelligence platform, including:
- Data pipelines across Brands, dealers, auctions, web and internal systems
- Forecasting, valuation and risk models
- Executive dashboards and real-time reporting
- The mandate is to continuously replace external vendors and manual processes with in-house, scalable AI, delivering higher accuracy, faster decisions and material cost savings.
Leadership & Governance
- The Head of Data Science & Asset Risk:
- Leads a senior team of Data Scientists and Analytics specialists
- Defines modelling standards, governance and validation
- Ensures outputs are trusted by Finance, Risk and Commercial tems
- Acts as the group’s technical authority on asset valuation and risk.
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