Requirements

The ideal candidate should possess a Bachelor’s degree in a STEM field, with a Master’s degree preferred, and a minimum of two years of experience as a Data Scientist, specifically within a lending organization such as a Fintech, bank, or credit union. Prior experience with large, complex time series datasets from a financial institution is required, along with first-line of defense credit or fraud risk management experience in Fintech, BNPL, or Small Business Lending, which is considered a plus. Candidates must have experience utilizing consumer and commercial credit bureau score and tradeline data to enhance credit strategies, and demonstrate deep hands-on experience in data analysis using tools like Python, R, SQL, Tableau, SAS, or equivalent, alongside experience in financial modeling to determine business cost benefit results from A/B testing. Strong communication skills, including the ability to influence key stakeholders and handle ambiguity, are also essential.