Design and evaluate advanced analytics and AI models to improve business lending decision processes and portfolio outcomes
Collaborate with business, risk, product and technology stakeholders to translate requirements into explainable decision solutions and by being the sparring partner on credit risk, analytics, and AI-related topics
Govern analytical models by supporting validation, monitoring, and lifecycle management within regulatory frameworks
Act as a subject matter expert and sparring partner for junior data scientists

MSc degree in a quantitative discipline (e.g. Data Science, Econometrics, Statistics, Mathematics, Computer Science, Physics)
A PhD is considered an advantage
7+ years of experience in advanced analytics, quantitative modelling, or data science, preferably within the financial industry
Experience developing, validating, and maintaining statistical and machine learning models in a regulated environment
Strong understanding of business lending, credit risk, and decisioning processes
Hands-on experience with Python and relevant frameworks (e.g. scikit-learn, XGBoost, MLflow)
Familiarity with AI governance, model risk management, and regulatory standards within financial institutions
Strong stakeholder management and communication skills
A proactive mindset and enjoyment of working in multidisciplinary teams
Preferred: exposure to Agentic AI architectures, autonomous workflows or AI orchestration frameworks

Thirteenth month's salary and 8% holiday allowance
10% Employee Benefit Budget
EUR 1,400 development budget per year
Hybrid working: balance between home and office work
A pension, for which you can set the maximum amount of your personal contribution

Senior Data Scientist – Business Lending

Key skills