Senior Data Scientist – Client Risk Rating (Zurich)

About the role

We are seeking a Senior Data Scientist to redesign the Client Risk Rating (CRR) model for a leading private bank in Zurich. The role involves creating an interpretable, data‑driven risk scoring framework that supports Compliance and Financial Crime decision‑making.

Key responsibilities

• Redesign the Client Risk Rating (CRR) model using quantitative scoring techniques.
• Develop interpretable risk scoring models for Compliance and Financial Crime.
• Build scoring engines, validation frameworks, and back‑testing pipelines in Python.
• Apply statistical modelling and machine learning in a regulated environment.
• Perform feature engineering, model validation, and sensitivity analysis.
• Work with large datasets using SQL (Oracle).
• Collaborate with Compliance and business stakeholders to translate requirements into analytical solutions.

Required profile

• 7+ years of experience in Data Science or Quantitative Analytics within banking or financial services.
• Master’s or PhD in a quantitative discipline.
• Fluent English; German is a plus.

Required skills

• Expert‑level Python (pandas, NumPy, scikit‑learn, statsmodels, PyTorch/TensorFlow).
• Strong statistical modelling and machine learning expertise.
• Advanced SQL skills, preferably Oracle.
• Experience building explainable risk or scoring models.

What we offer

• Location: Zurich (onsite).
• Workload: 80%.
• Fixed‑term contract from September to December 2026.