Fraud Risk Analyst

Salary Range: 101000 to 158000 (Currency: USD) (Pay period: per-year-salary)

Problems You Will Solve

• 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.

About You

• 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 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.
• 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