Salary
💰 $90,000 - $155,000 per year
About the role
- Support quantitative predictive modeling/analytics for credit account management and collections for consumer and commercial products
- Serve as a predictive modeler/statistician for model development, model validation support, model deployment activities and ad-hoc analysis
- Design, develop, and execute advanced predictive modeling for account management and collections
- Work with business partners and vendors for model design, development, implementation, validation and model governance requirements
- Create and maintain model documentation and ensure adequate oversight for owned deliverables
- Manage model risk management process including model validation, response to independent review questions and development of action plans
- Adhere to model development procedures for modeling and monitoring
- Pull data from source systems utilizing SQL and/or SAS
- Keep pace with academic, regulatory and industry developments and integrate new methodologies into decision-making
- Perform other duties and special projects as assigned
Requirements
- Bachelor’s degree in Statistics, Mathematics, Economics, Decision Science or other quantitative field and 5+ years of related experience OR high school diploma/GED and 9+ years of work-related analytic experience
- 5+ years of modeling experience in banking, financial or consumer analytics
- 4+ years programming experience with SAS and SQL
- 4+ years of statistical analysis and handling large amounts of data
- Proficient in SAS programming including SAS Macro; SAS certification is a plus
- Experience with Python for data analysis and machine learning
- Familiarity with regulatory Model Risk requirements (e.g., SR 11-7/OCC 2011-12)
- Experience with model documentation and ability to explain technical items to non-technical people
- Hands-on data analytics, risk modeling and data management experience
- Strong project management and execution skills
- Excellent written, oral communication and problem solving skills
- Ability to work independently
- Must be 18 years or older and have a high school diploma or equivalent
- Willingness to take a drug test, submit to a background investigation and fingerprints as part of onboarding
- Legal authorization to work in the U.S. required; employer will not sponsor employment visas