Data Scientist - Quantitative Risk Management / Asset Liability Management | Mathematiker (m/w/d)

Job Summary

Join the HUK-COBURG Data Analytics Team, a leading German insurer, to transform data into valuable insights for over 13 million customers. This role focuses on applying state-of-the-art Data Science and AI methods to real-world problems in Capital Investment Risk Management, specifically within the HUK-COBURG Asset Management GmbH. You will be responsible for developing, implementing, and optimizing quantitative models for Asset Liability Management (ALM) and strategic asset allocation, taking on technical ownership for these solutions. The ideal candidate holds an advanced degree (Master's or PhD preferred) in Data Science, Mathematics, Physics, or a related field, possesses multi-year experience applying Data Science methods to economic issues (ideally in asset/risk management), and demonstrates strong programming skills in Python, coupled with deep knowledge of statistics, optimization, and modern Machine Learning techniques. This is an exciting opportunity to drive data-driven trading decisions within an agile, interdisciplinary team.