Senior Data Scientist (Hybrid)
Core
Develop, validate, and monitor credit risk models and verification procedures for lending criteria to serve non-prime consumers and businesses.
Role type
Senior IC data scientist (credit risk)
Builds
Production credit risk models and validation reports for Enova's lending platform
Domain
Financial services / Credit risk
Deliverable
production ML models
Required skills
Advanced credit risk modeling, statistical modeling for risk management, Python programming, SQL, data manipulation, model validation
Preferred skills
Quantitative analysis in financial services, automated model training processes
Technologies
Python, SQL
Responsibilities
Perform model validation of credit risk models, Prepare model validation reports and write technical documentation, Assist analysts in validating and preparing their models for production, Interact with model stakeholders and business partners to gather information about credit models and risk acceptances, Support model releases to ensure they are quickly and accurately put into production, Monitor model performance dashboards, build alerts, and escalate concerns as appropriate
Seniority
Senior, hands-on IC
