Design, implement, and thoroughly test changes to the customer acquisition and underwriting decision engines to optimize origination volume and loan performance
Write and maintain a suite of unit and regression test cases to ensure the accuracy of changes to the customer acquisition and underwriting decision engines
Monitor performance of the decision engines
Establish decision performance metrics and develop automated reporting and alerting using SQL and Python
Collaborate with cross-functional teams to implement marketing or underwriting strategy changes, monitor releases, and perform impact analysis
Communicate concise and actionable business strategy recommendations to senior management

Bachelor’s degree in a quantitative or business discipline (e.g., math, statistics, finance, economics, engineering, or other quantitative fields)
4+ years of professional experience as a Business Analyst or QA
2+ years of experience working with python and SQL for data analysis in a professional setting
Working SQL knowledge and experience working with relational databases, query authoring, as well as familiarity with a variety of databases
Strong quantitative and problem-solving skills with key attention to detail
Ability to work effectively while managing multiple projects with tight deadlines, understand the project requirements with minimal guidance, follow through to completion

Lead Risk Systems Developer

Key skills