Data Scientist - Risk
About the Role
A company is looking for a Data Scientist - Risk. Key Responsibilities Develop and maintain innovative models for asset valuation, considering macroeconomic and risk factors Create models for portfolio management, including value forecasting and market risk segmentation Enhance existing models and develop analytical tools to support other teams Required Qualifications Bachelor's degree in a quantitative discipline and 2+ years of relevant work experience, or an advanced degree in a quantitative discipline Statistical skills in model development at an account, customer, or asset level Solid understanding of machine learning techniques and AI capabilities Strong programming skills in R, SQL, and Python Team player with strong interpersonal skills
Responsibilities
- Develop risk-aware models for asset valuation
- Build portfolio management models with forecasting and risk segmentation
- Enhance models and develop analytical tools
Qualifications
- Bachelor's or higher in quantitative field
- 2+ years experience in quantitative modeling
- Strong programming in R/SQL/Python
Required Skills
Keywords
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