Senior Data Scientist (Hybrid)
$96,000–$125,000 year
HybridChicago, Illinois, United States
Job Summary
Conduct independent model validations to evaluate credit risk models for fit, conceptual soundness, and output reasonableness. Prepare technical documentation and reports while assisting analysts in validating models for production. Interact with stakeholders to gather information on risk acceptances and support model releases to ensure accurate deployment. Monitor performance dashboards, build alerts, and escalate concerns as needed. Develop custom tools using Python and SQL to improve automated training processes and analyze data for risk management strategies. Perform ad hoc analysis to recommend operational and marketing strategies. This role supports Enova's AI-powered lending platform, serving non-prime consumers and businesses through advanced quantitative analysis in financial services.
Required Qualifications
- Experience in developing advanced credit risk models
- Knowledge of statistical models in risk management
- Advanced programming skills in Python
- Ability to write customized programs for meaningful data analysis
- Experience working with relational databases, such as SQL
- Eligible to work in the United States
Desired Qualifications
- 5+ years of experience in quantitative analysis in the financial services industry
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