Senior Data Scientist: Credit Risk & Fraud Analytics

Outsourceit; Zürich; On-site; CHF 90,000 - 120,000; Full time

Job summary

Outsourceit in Zürich is looking for a Senior Data Scientist to develop credit risk models and fraud detection systems for a mid-size European investment fund. Your role will involve working with proprietary and alternative datasets, requiring deep statistical expertise to deploy models into production.

The ideal candidate should have experience in model validation and monitoring in a regulated finance environment. This is a fixed-term position with strong potential for extension, requiring a work load of 35-40 hours weekly.

Qualifications

• Deep statistical expertise with experience in model deployment.
• Knowledge of production ML models and validation frameworks.
• Experience within regulated finance is beneficial.

Responsibilities

• Build and own credit risk models and fraud detection systems.
• Work with proprietary transaction datasets and alternative data sources.
• Monitor and maintain production ML models.

Skills

Expert‑level knowledge of regression, classification, time‑series, and Bayesian methods.

Fluency in Python (pandas, scikit‑learn, statsmodels).

Complex SQL query optimisation.

Experience in credit risk, fraud detection, or portfolio analytics.

Job description

Outsourceit in Zürich is looking for a Senior Data Scientist to develop credit risk models and fraud detection systems for a mid-size European investment fund. Your role will involve working with proprietary and alternative datasets, requiring deep statistical expertise to deploy models into production.

The ideal candidate should have experience in model validation and monitoring in a regulated finance environment. This is a fixed-term position with strong potential for extension, requiring a work load of 35-40 hours weekly.