Quantitative Risk Analyst at WSFS Bank in Philadelphia, PA

Summary: WSFS Bank is a financial institution seeking a Quantitative Risk Analyst to assist in constructing credit decision scorecards and developing credit risk modeling strategies. The role involves analyzing large datasets, validating credit default rates, and supporting risk-based pricing strategies while ensuring compliance with regulatory guidance. Responsibilities: - Assist the Quantitative Risk Manager in constructing a Credit Decision Scorecards and statistically based credit risk modeling strategies based on quantitative modeling methods (e.g., good / bad definition, performance sample windows, sample size and exclusions) - Assist in developing and implementing a framework for data collection, processing and analyzing customer and 3rd party data (e.g., PayNet, D&B, consumer credit bureaus) for implementing credit risk strategies - Plan and execute self-driven analytics on large data sets (structured and unstructured data) using next generation technologies, prepare analysis and reports to support discussions on key analytics and model aspects to drive decision making - Validate credit default rates from portfolio attributes (e.g., delinquencies, EOD, loss curves, dealer performance) and make recommendations on credit model and policies - Work with sales management on risk-based pricing strategies optimizing dealer conversion rates and profitability - Oversight of credit data mart used for reporting and portfolio performance monitoring - Supporting ongoing and future projects working with the senior team - Ability to create visualizations of data and/or quantitative information for management decision-making - Support building and enhancing procedures and model documentation in compliance with regulatory guidance as well as the Bank’s model risk policy - Maintain current/develop new analytical reports and presentations for senior management, executive committees, and regulatory exams Required Qualifications: - Assist the Quantitative Risk Manager in constructing a Credit Decision Scorecards and statistically based credit risk modeling strategies based on quantitative modeling methods (e.g., good / bad definition, performance sample windows, sample size and exclusions) - Assist in developing and implementing a framework for data collection, processing and analyzing customer and 3rd party data (e.g., PayNet, D&B, consumer credit bureaus) for implementing credit risk strategies - Plan and execute self-driven analytics on large data sets (structured and unstructured data) using next generation technologies, prepare analysis and reports to support discussions on key analytics and model aspects to drive decision making - Validate credit default rates from portfolio attributes (e.g., delinquencies, EOD, loss curves, dealer performance) and make recommendations on credit model and policies - Work with sales management on risk-based pricing strategies optimizing dealer conversion rates and profitability - Oversight of credit data mart used for reporting and portfolio performance monitoring - Supporting ongoing and future projects working with the senior team - Ability to create visualizations of data and/or quantitative information for management decision-making - Support building and enhancing procedures and model documentation in compliance with regulatory guidance as well as the Bank's model risk policy - Maintain current/develop new analytical reports and presentations for senior management, executive committees, and regulatory exams Required Skills: Credit Risk Modeling, Credit Decision Scorecards, Quantitative Modeling Methods, Data Collection Framework, Data Processing, Data Analysis, Structured Data Analytics, Unstructured Data Analytics, Data Visualization, Model Validation, Credit Default Rate Analysis, Regulatory Compliance Documentation Benefits: Medical, dental, and vision coverage, A 401(k) plan, Life, accident, and disability insurance, Flexible spending accounts (FSAs) and health savings accounts (HSAs), Wellness programs, Paid parental leave, Military leave, Vacation and other paid time off, Sick leave in accordance with applicable state laws, Paid holidays