Senior Credit Risk Analyst

Summary

Join Prosper's Credit Risk Management Department as a Senior Analyst and leverage advanced analytics to develop credit strategies for automated decisions in our online marketplace. You will apply statistical techniques and machine learning to predict and prevent credit risk for personal loans and credit cards. This role requires strong analytical skills and innovative problem-solving abilities. You will collaborate with cross-functional teams, analyze portfolio performance, and communicate findings to stakeholders. The ideal candidate possesses a strong background in credit risk management and data science, along with proficiency in SQL, Python, and Tableau. Prosper offers a competitive salary, flexible time off, comprehensive health coverage, and various other benefits.

Requirements

• Bachelor's degree in Business, Statistics, Mathematics, Computer Science, Engineering or Economics and 5+ years relevant experience managing credit/ fraud risk OR a Master's degree in above areas with 3+ years relevant 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 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

Responsibilities

• 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

Preferred Qualifications

• 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

Benefits

• Flexible time off
• Comprehensive health coverage
• Competitive salary
• Paid parental leave
• Wellness benefits including access to mental health resources, virtual HIIT and yoga workouts
• Udemy access
• Childcare assistance
• Pet insurance discounts
• Legal assistance
• Additional discounts
• Bonus