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Role and Responsibilities:
- Develop credit and fraud strategies to improve credit performance using data, machine learning models, and advanced analytics.
- Collaborate with Data Science, Product, Engineering, and other teams to implement credit and fraud prevention strategies.
- Conduct ad-hoc analysis related to risk management, product, and operations, and communicate findings.
Qualifications:
- Bachelor's or Master's degree in Business, Statistics, Mathematics, Computer Science, Engineering, or Economics.
- 3+ years with a Master's or 5+ years with a Bachelor's in credit risk, fraud, or data science in consumer lending.
- Strong proficiency in SQL and Python; experience with DBT and Looker a plus.
What We Offer:
- Competitive salary and 401(k) with 5% company match.
- Holistic well-being benefits including flexible time off, paid parental leave, annual wellness allowance, and comprehensive health coverage.
- Professional growth resources like Udemy access, childcare assistance, and pet insurance.
Prosper
Prosper is a fintech company that pioneered peer-to-peer lending in the US, offering personal loans and credit cards to help consumers achieve financial well-being. Since 2005, it has served over 2 million customers and fosters a culture of collaboration, curiosity, and accountability.