Credit Risk Analyst

The Role
The successful candidate will join Prosper’s Credit Risk Management Department. The team leverages advanced analytics tools, cutting edge data and techniques to develop credit strategies that govern automated credit decisions in Prosper’s online marketplace. A Credit Risk Analyst at Prosper can apply advanced statistical techniques, algorithms, and industry tools to develop solutions that predict and prevent credit risk associated with Prosper Personal Loans and Credit Cards products. 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.

Problems You Will Solve

• Develop credit strategies to improve the credit performance by using data, machine learning models and advanced analytics tools to optimize risk decisions
• Bring innovative/out of the box thinking to make recommendations and to approaching/solving problems
• Design A/B tests and understand the risk-return trade-offs
• Develop loss forecasting projections for Personal Loan and Improve forecasting accuracy
• Partner with Product, Marketing and Engineering teams to implement strategies and monitor the strategy performance
• Continue to innovate by testing new data, analytics approaches and models
• Conduct ad-hoc analysis related to risk management, investor services, product, and operations
• Analyze portfolio performance at a granular segment level on an ongoing basis. Identify trends and conduct root-cause analysis to isolate key performance driver
• Communicate findings and recommendations to the Risk Management and broader Prosper community
• Work with legal and compliance team to ensure strategies and policies comply with all the regulatory requirements

About You

• Bachelor's degree in Business, Statistics, Mathematics, Computer Science, Engineering or Economics and 2 years relevant experience managing credit/ fraud risk OR a Master's degree in above areas without experience
• Experience managing credit risk and/or fraud and/or data science in consumer lending industry, consumer credit card experience is a plus
• Strong analytical and problem-solving skills
• Experience using machine learning and statistical models to develop strategies
• Must have strong proficiency in SQL, Python and Tableau. Knowledge of R and Knowledge Seeker will be a plus
• Fiserv and/or FICO fraud tool experience is a plus
• Strong communication skills – ability to communicate technical subject matter clearly and succinctly to other team members and Senior Management team
• Knowledge and experience of segmentation, statistical procedures, and financial analytic tools are required
• Curious to ask questions, probe into reasons and challenge the status quo
• Self-starter and comfortable dealing with ambiguity
• Strong ownership and motivation to drive business results
• Ability to work in a fast-paced environment and meet deadlines without sacrificing quality

What We Offer

• The opportunity to collaborate with a team of creative, fun, and driven colleagues on products that have an immediate and significant impact on people's lives
• The opportunity to work in a fast-paced environment with experienced industry leaders
• Flexible time off, comprehensive health coverage, competitive salary, paid parental leave
• Wellness benefits including access to mental health resources, virtual HIIT and yoga workouts
• A bevy of other perks including Udemy access, childcare assistance, pet insurance discounts, legal assistance, and additional discounts

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