We have partnered with a well established consultancy growing their Data Team. This is a great opportunity to interact with senior level decision makers. Experience with collections data required
Job Role:
- Design and implement collections strategies and assess risk profiles
- Utilize advanced mathematical, statistical, and analytical expertise to research, collect, analyze, and interpret large datasets
- Build and test predictive models including but not limited to credit risk, fraud, response, and offer acceptance propensity
- Ensure collections strategies comply with regulatory requirements
- Leverage advanced analytics to develop innovative portfolio surveillance solutions to track and forecast loan losses, that influence key business decisions related to pricing optimization, credit policy and overall profitability strategy
Requirements:
- BS / MS in a quantitative field
- Experience building predictive models (including linear and logistic regression, decision trees, random forest, and gradient boosting) in R, Python, or SAS
- 5+ years of experience within collections and risk strategy
- Advanced knowledge of SQL and experience working with databases
