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