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Senior Data Scientist - Quantitative Finance - HUK-COBURG VVaG
Data Scientist
Lead advanced quantitative modeling and machine learning initiatives in finance, driving data‑driven investment strategies and risk assessment using Python, statistical techniques, and SQL.
About the role
Key Responsibilities
- Design, develop, and deploy predictive models for pricing, risk, and portfolio optimization.
- Collaborate with quantitative analysts to translate business problems into data‑science solutions.
- Implement robust data pipelines and perform feature engineering on large financial datasets.
- Validate model performance, conduct back‑testing, and ensure compliance with regulatory standards.
- Communicate findings to stakeholders through clear visualizations and technical reports.
Requirements
- Master’s degree or Ph.D. in Statistics, Mathematics, Computer Science, or related field.
- 5+ years of experience in quantitative finance or data science roles.
- Proficiency in Python, SQL, and statistical/machine‑learning libraries (scikit‑learn, pandas, statsmodels).
- Strong knowledge of time‑series analysis, econometrics, and risk modeling.
- Excellent problem‑solving skills and ability to work independently in a fast‑paced environment.
Skills
pythonmachine learningsql