Vice President, Credit Risk

Vice President, Credit Risk

Develop, implement, and maintain credit underwriting strategy for digital lending. Analyze data including traditional and alternative bureau, behavioral and macroeconomic data and use statistical tools and analytical techniques to generate insights and optimize credit decisions including accepting and declining pricing and credit line. Partner with Marketing, Finance and Operations teams to ensure appropriate execution of credit policy requirements. Analyze and evaluate potential vendor and data providers for incremental value in credit management strategies in a continuous improvement environment. Keep up to date on applicable regulations and compliance requirements with possible interactions with internal and external regulators. Develop analytical reports and presentations for senior management, executive committees, and regulatory exams. Develop and automate quality control process to ensure intended execution of credit strategies. Develop policy and procedures documentation for credit risk strategy execution. Develop comprehensive risk management reports using SQL or a similar database query language for extracting data from large datasets. Managing several projects simultaneously and driving end-to-end project delivery.

Master's degree (U.S. or foreign equivalent) in Mathematics, Economics, Finance, Statistics, Information Systems, or a related field OR Bachelor's degree (U.S. or foreign equivalent) in Mathematics, Economics, Finance, Statistics, Information Systems, or a related field. Three (3) years of experience with a Master's degree or five (5) years of experience with a Bachelor's degree with the following : building, improving, or analyzing risk management in a consumer lending; utilizing knowledge of U.S. credit bureau data, risk scorecards, and ability to pay quantification to develop credit policy; working with large datasets and big data including trade line, time-series, and transaction data and utilizing advanced analytical packages such as SAS, R, Python and SQL to analyze data, identify insights and make recommendations; visualizing complex data analyses and communicating to a wide variety of audiences, including senior leadership; developing comprehensive risk management reports using SQL or a similar database query language for extracting data from large datasets; and microsoft Office skills, specifically Excel (including creation of pivot tables, logic functions, data tables and regression analysis), PowerPoint and Word.

Annual base salary for this New York, New York-based position is $189,000 - $249,000.