onsite
Risk Data Scientist - Regions Bank
Data Scientist
Develop and deploy advanced risk models using Python, SQL and machine learning techniques to identify, quantify, and mitigate financial risk across the organization.
About the role
Key Responsibilities
- Design, build, and validate predictive risk models leveraging machine learning and statistical methods.
- Extract, clean, and transform large datasets from relational databases and data warehouses using SQL and Python.
- Collaborate with risk, finance, and technology teams to translate business requirements into analytical solutions.
- Develop dashboards and visualizations to communicate risk insights to stakeholders.
- Monitor model performance in production and implement ongoing improvements.
Requirements
- Strong proficiency in Python (pandas, scikit‑learn, statsmodels) and SQL.
- Experience with statistical modeling, hypothesis testing, and machine‑learning algorithms applied to risk or financial data.
- Solid understanding of risk concepts such as credit, market, or operational risk.
- Ability to create clear data visualizations and reports for non‑technical audiences.
- Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering) or equivalent experience.
Skills
pythonsqlmachine learning