Head of Data Science & Asset Risk | Financial Services - Transformation & Development

Overview Of The Role

What You Will Do

• 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.

Skills

• Required Skills to be successful:
• Deep hands-on technical and analytical expertise, including Python, SQL, large-scale data extraction, and building advanced statistical and machine-learning models.
• Ability to turn data into actionable insight, translating complex analysis into clear decisions with measurable business impact.
• Strong data governance and risk discipline, ensuring models are explainable, controlled, and suitable for regulated environments.
• Proven leadership and executive influence, able to build scalable teams and drive adoption at the senior-management level.
• About the Team:
• You will be reporting to Chief Risk Officer
• What equips you for the role:
• 10+ years in Statistics, Data Science, Risk, Pricing, Forecasting or Financial Modelling
• Experience in automotive, asset finance, banking, insurance or large portfolios
• Proven ownership of P&L-critical models
• Strong background in IFRS9, ECL, stress testing or portfolio risk
• Comfortable operating at CFO, CRO and Board level