Fraud Risk Analyst

Summary

Join Prosper's Credit Risk Management Department as a Sr. Analyst or Analyst to develop and implement fraud risk strategies using advanced analytics. You will leverage machine learning models and data to mitigate fraud losses, optimize existing strategies, and design A/B tests. Responsibilities include monitoring portfolio performance, conducting root-cause analysis, communicating findings, and identifying new vendors. The ideal candidate possesses strong analytical skills, experience in credit/fraud risk management, and proficiency in SQL. Prosper offers flexible time off, comprehensive health coverage, paid parental leave, wellness benefits, and other perks.

Requirements

• Sr. Analyst level: 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
• Analyst level: Bachelor's degree in above areas with 2+ years relevant experience managing credit/ fraud risk OR a Master's degree in above areas with less 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 models and Decision Trees to develop strategies
• Must have strong proficiency in SQL
• Knowledge and experience of segmentation, statistical procedures, and financial analytic tools are required

Responsibilities

• Develop and implement Fraud strategies leveraging data, machine learning models and advanced analytics tools to mitigate fraud losses and maintain superior customer experience
• Manage and optimize existing strategies effectively controlling risks due to first party and third-party fraud
• Design A/B tests and understand the risk and customer experience trade-offs
• Lead the efforts to constantly iterate and improve existing strategies while identifying additional automation opportunities
• Continue to innovate by testing new data, analytics approaches and models
• Monitor and analyze portfolio performance at a granular segment level on an ongoing basis. Identify trends and conduct root-cause analysis to isolate key performance drivers
• Communicate findings and recommendations to the Risk Management and broader Prosper community
• Maintain fraud losses within the allocated annual budget
• Identify and evaluate new vendors / data sources and create business cases and present them to senior management
• Partner with Product, Marketing, Engineering and External Vendor teams to implement strategies and monitor the strategy performance
• Work with legal and compliance team to ensure strategies and policies comply with all the regulatory requirements
• Bring innovative/out of the box thinking to solve problems and make recommendations
• Conduct ad-hoc analysis related to risk management, product, operations

Preferred Qualifications

• Knowledge of R, Python, Tableau, 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
• 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

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