Senior Manager, Credit Risk Analytics

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Prosper Marketplace

πŸ’΅ $186k-$223k
πŸ“Remote - United States

Summary

Join Prosper's Credit Risk Management Department as a Fraud Risk Senior Manager and leverage advanced analytics, cutting-edge data, and innovative techniques to shape fraud risk strategies for Personal Loan and Credit Card products. Develop and implement fraud strategies using machine learning models and advanced analytics tools to mitigate fraud losses and maintain superior customer experience. Manage and optimize existing strategies, design A/B tests, and lead efforts to improve strategies while identifying automation opportunities. Monitor portfolio performance, conduct root-cause analysis, and communicate findings to the Risk Management team. Maintain fraud losses within budget, identify new vendors/data sources, and partner with various teams to implement and monitor strategies. Conduct ad-hoc analysis and bring innovative thinking to problem-solving. This role requires strong analytical and problem-solving skills, experience in consumer lending or credit card fraud management, and proficiency in SQL.

Requirements

  • Masters’s degree in Business, Statistics, Mathematics, Computer Science, Engineering or Economics and 8+ years relevant experience managing credit/fraud risk
  • 4+ years of people leadership experience
  • Experience managing fraud in consumer lending industry or consumer credit card
  • 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
  • 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 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

Benefits

  • Flexible time off, comprehensive health coverage, competitive salary, paid parental leave, and other wellness benefits
  • A bevy of other perks including Udemy access, childcare assistance, pet insurance discounts, legal assistance, and additional discounts through Perkspot
  • The ability to work remotely in the United States

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