Lead the NPV tool development initiative across all consumer lending products at PenFed
Requirements
- Applied experience with Logistic Regression, Linear Regression, Machine Leaning, and Survival Analysis required
- Advanced programming skills to include knowledge of statistical programs (e.g. SQL, Python, and R) required
- Experience in building risk, revenue and targeting models for consumer products is required
- Ability to manage multiple projects simultaneously and implement rapid changes in project direction
- Demonstrate strong data analysis skills, ability to understand underlying data and complex loss/balance forecasting models, various product features, possess organizational and prioritization skills, as well as strong attention to detail
- Critical thinking using both analytical and tactical approach to problem solving within the Quantitative Modeling team is required
- Proven project management skills
Responsibilities
- Independently develop statistical models and scorecards used in credit underwriting, loan pricing, collection, and portfolio risk monitoring
- Work closely with business partners and be able to translate business problem to statistical problems and leverage machine learning technology to solve business problem
- Independently lead the effort for any ad hoc analysis and deep dive to understand the business drivers of creation trends
- Monitor performance of quantitative models and support independent model validation efforts in accordance with the model governance policy
- Participate in identification, measurement, and monitoring of credit risk as it relates to Merger and Acquisition (M&A), loan purchases and participation, and other new business strategies
- Improve risk identification, measurements and management with respect to credit risk modeling activities
- Maintain an efficient and controlled infrastructure for model development, documentation, implementation, and validation
Other
- Master’s Degree in quantitative discipline is required. PHD is highly preferred
- Minimum of eight (8) years of related work experience in building statistical models and advanced data analysis
- Minimum of three (3) years of experience as a supervisor / assistant manager required
- Ability to interact effectively with team members across the management team, Lines of Business (LOB), credit officers, finance, model governance, oversight, validation, and audit organizations
- Excellent oral and written communication skills required
