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About the role
California applicants: please click here to view our California Consumer Privacy Act (“CCPA”) Notice for Applicants, which describes your rights under the CCPA.
What they're looking for
- Bachelor's degree with 2+ years of experience, OR a Master's degree with less experience
- Bachelors degree or higher in Business, Statistics, Mathematics, Computer Science, Engineering or Economics
- Background in Credit Risk, Fraud Risk, or Data Science within the consumer lending industry
- Direct experience with consumer personal loans or credit cards is a plus
- Strong analytical and problem-solving skills
- Strong proficiency in SQL and Python is required. Experience with DBT and Looker is a plus
More about this role
As the first peer to peer lending marketplace in the states, Prosper has a history of innovation. As a growth company that generates cash, Prosper also has a history of generating results. We are looking for team members that share our passion for applied analysis and who would be excited to be part of a mission-driven team.
The successful candidate will join Prosper’s Credit Risk team. The Credit Risk team uses analytics tools to develop strategies that govern automated decisions in Prosper’s online marketplace. A Credit Risk Analyst at Prosper has the opportunity to utilize advanced analytical skills to develop verification and fraud strategies using models and data in order to manage credit decisions. An ideal candidate should have strong hands-on analytical skills and a passion for solving problems in innovative and effective ways. The faster and more agile risk strategies keep our marketplace competitive and ensure that we continue to deliver on our mission of advancing financial well-being.
- Develop credit and fraud strategies to improve the credit performance by using data, machine learning models, and advanced analytics tools to optimize risk decisions
- Bring innovative,...
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