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Senior Statistical Modeler-Small business loans
4 months ago
We have partnered with a well established Fintech firm growing their Data Team. This is a great opportunity to interact with senior level decision makers and join a newly created team. Experience with credit bureau data required
Individual will be responsible for leading and conducting key analyses and statistical modeling and collaborate with multiple departments including credit risk, and marketing.
Job Role:
- 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
- Responsible for the development, testing, validation, tracking, and performance enhancement of statistical models leading to new innovative origination strategies within marketing, sales, finance, and underwriting
- 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
- Present modeling and data analysis to management and other business partners
Requirements:
- M.S. degree or higher in Statistics, Math, Data Science, Computer Science, or equivalent quantitative field
- Extensive experience building predictive models (including linear and logistic regression, decision trees, random forest, and gradient boosting) in R, Python, or SAS
- 5+ years of statistical modeling experience within the financial services industry
- Advanced knowledge of SQL and experience working with databases
