Senior Credit Risk Analyst

About UsFounded in 2005 as the first peer-to-peer marketplace lending platform in the U.S., Prosper was built on a simple idea: connect people who want to borrow money with those who want to invest. Since inception, Prosper has helped more than a million people gain access to affordable credit with over $23 billion in loans originated through its platform. Our mission is to help our customers advance their financial well-being through a variety of products including personal loans, credit, home equity lines of credit (HELOC), and our newest product, HELoan. Our diverse culture rewards accountability and cross functional teamwork because we believe this encourages innovative thinking and helps us deliver on our mission.   We’re on a mission to hire the very best, and we are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere. It is important to us that every hire connects with our vision, mission, and core values. Join a leading fintech company that’s democratizing finance for all!  
Our ValuesDiversity expands opportunitiesCollaboration creates better solutions Curiosity fuels our innovationIntegrity defines all our relationshipsExcellence leads to longevity Simplicity guides our user experience Accountability at all levels drives results
www.prosper.comOur Story & Team  //   Our Blog 
The RoleThe successful candidate will join Prosper’s Credit Risk Management Department. The team leverages advanced analytics tools, cutting edge data and techniques to develop Fraud risk strategies that will govern Prosper’s overall fraud mitigation framework across first- and third-party fraud risk. As a Sr Analyst at Prosper you can apply advanced statistical techniques, algorithms, and industry tools to develop solutions that predict and prevent 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 fraud 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 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

• Bachelor's degree in Business, Statistics, Mathematics, Computer Science, Engineering or Economics.
• 2+ years in performing data management and analytics; 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 ambiguit