Vice President, Statistical Modeling

About the Company

Innovative small business lender

Industry
Financial Services

Type
Privately Held

About the Role

The Company is seeking a VP of Statistical Modeling to lead a team of statisticians in the development and maintenance of predictive models for various business functions, including originations, marketing, and collections. The successful candidate will be responsible for collaborating with different departments to identify opportunities for the application of predictive models and will be the thought leader in this area, staying abreast of current and emerging statistical techniques and tools. This role involves hands-on participation in model building, coding, and implementation using Python and SQL, as well as the management of ongoing model maintenance and monitoring. The VP will also be expected to interact with senior leadership on a daily basis, oversee all model presentations, and play a key role in building out the modeling team.Applicants for the VP of Statistical Modeling position at the company should have an M.S. or higher in statistics, math, data science, or a related quantitative field, with a minimum of 10 years of predictive modeling experience in the financial services industry. A strong background in building predictive models, including experience with various techniques such as linear and logistic regression, decision trees, random forest, and gradient boosting, is essential. The role requires at least 5 years of hands-on management experience, advanced knowledge of SQL, and a detailed understanding of credit bureau data. The ideal candidate will have a proven track record of using R, Python, or SAS for model development, and experience with Experian credit reports is preferred.

Travel Percent
Less than 10%

Functions

• Data Management/Analytics