NYC based Fintech is looking for a VP of Statistical Modeling to lead a growing team of Statisticians. This hands-on leader will participate in building and maintaining predictive models for various parts of the business within Originations, Marketing, and Collections while building out the team.
Responsibilities:
- Collaborate with various departments to identify areas of opportunity where predictive models will make a meaningful impact to the bottom line
- Serve as the predictive modeling thought leader in the organization by maintaining a high level of competency in current and emerging statistical techniques and tools
- Oversee and participate in the development, coding, implementation, and maintenance of the various models using Python and SQL
- Manage the overall ongoing maintenance and quarterly monitoring of all active models
- Provide oversight of all model presentations
- Present and interact with senior leadership on a daily basis
Requirements:
- M.S. degree or higher in Statistics, Math, Data Science, or equivalent quantitative field
- 10+ years of predictive modeling experience within the financial services industry
- 5+ years of hands on management experience
- Extensive experience building predictive models (including linear and logistic regression, decision trees, random forest, and gradient boosting) in R, Python, or SAS for various parts of the business
- Detailed knowledge of credit bureau data at the individual tradeline and inquiry level (Experience with Experian credit report preferred)
- Advanced knowledge of SQL and experience working with databases
