Use SQL and R or Python to extract and manipulate data to make data-driven, actionable recommendations about how to improve outcomes.
Make actionable recommendations about how to improve outcomes based on data analysis and a deep understanding of how our product works.
Work closely with the Data Science team to price and implement ML and AI models that optimize portfolio outcomes.
Define, implement and monitor A/B Tests with the product and marketing team that will improve our product and help us reach more customers.
Write succinct and thoughtful documentation that explains your recommendations.
Own risk KPIs for one or more portfolios.

Bachelor's degree in Finance, Economics, Mathematics, Industrial Engineering or a similar quantitative field.
4+ years of experience in risk management functions in fintech or commercial banking, working with credit cards or other consumer lending products.
Experience working with Credit Limit Increase programs and with scaling products from 0 to scale in a fast-paced startup environment is a plus.
End-to-end problem-solving skills, including framing of the problem, analytical research, discussion/debate and the ability to present solutions to cross-functional stakeholders at all levels of the organization.
Understanding of statistical tools and methods, and experience working with large data sets.
Mastery SQL, Python and other tools for Data Analysis.

Risk Manager

Key skills