onsite
Data Scientist / Risk Modeling Lead
Data Scientist
Lead risk modeling initiatives as a Data Scientist, designing predictive models and visual analytics using Python, R, Tableau, and VBA to drive data‑driven risk management decisions.
About the role
Key Responsibilities
- Design, develop, and validate statistical and machine‑learning models to assess and mitigate financial and operational risks.
- Translate complex data sets into actionable insights and interactive dashboards using Tableau and VBA.
- Collaborate with cross‑functional teams to integrate risk models into business processes and reporting pipelines.
- Lead model governance, documentation, and performance monitoring to ensure regulatory compliance.
- Mentor junior analysts and promote best practices in data science and risk analytics.
Requirements
- Strong proficiency in Python and R for data manipulation, statistical analysis, and model development.
- Experience building risk models (credit, market, operational) and applying machine‑learning techniques.
- Advanced skills in Tableau for data visualization and VBA for automation within Excel.
- Solid understanding of risk management frameworks and regulatory standards.
- Excellent problem‑solving, communication, and leadership abilities.