The Role The successful candidate will join Prosper's Credit Risk Management Department. The team leverages advanced analytics tools, cutting edge data and techniques to develop credit strategies that govern automated credit decisions in Prosper's online marketplace. A Credit Risk Senior Analyst at Prosper can apply advanced statistical techniques, algorithms, and industry tools to develop solutions that predict and prevent credit 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 risk strategies keep our marketplace competitive and ensure that we continue to deliver on our mission of advancing financial well-being.
\n Problems You Will SolveDevelop credit strategies to improve the credit performance by using data, machine learning models and advanced analytics tools to optimize risk decisionsBring innovative/out of the box thinking to make recommendations and to approaching/solving problemsDesign A/B tests and understand the risk-return trade-offsDevelop loss forecasting projections for Personal Loan and Improve forecasting accuracyPartner with Product, Marketing and Engineering teams to implement strategies and monitor the strategy performanceContinue to innovate by testing new data, analytics approaches and modelsConduct ad-hoc analysis related to risk management, investor services, product, and operationsAnalyze portfolio performance at a granular segment level on an ongoing basis. Identify trends and conduct root-cause analysis to isolate key performance driverCommunicate findings and recommendations to the Risk Management and broader Prosper communityWork with legal and compliance team to ensure strategies and policies comply with all the regulatory requirements About YouBachelor'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 experienceExperience managing credit risk and/or fraud and/or data science in consumer lending industry, consumer credit card experience is a plusStrong analytical and problem-solving skillsExperience using machine learning and statistical models to develop strategiesMust have strong proficiency in SQL, Python and Tableau. Knowledge of R and Knowledge Seeker will be a plusFiserv and/or FICO fraud tool experience is a plusStrong communication skills – ability to communicate technical subject matter clearly and succinctly to other team members and Senior Management teamKnowledge and experience of segmentation, statistical procedures, and financial analytic tools are requiredCurious to ask questions, probe into reasons and challenge the status quoSelf-starter and comfortable dealing with ambiguityStrong ownership and motivation to drive business resultsAbility to work in a fast-paced environment and meet deadlines without sacrificing quality What We OfferThe opportunity to collaborate with a team of creative, fun, and driven colleagues on products that have an immediate and significant impact on people's livesThe opportunity to work in a fast-paced environment with experienced industry leadersFlexible time off, comprehensive health coverage, competitive salary, paid parental leaveWellness benefits including access to mental health resources, virtual HIIT and yoga workoutsA bevy of other perks including Udemy access, childcare assistance, pet insurance discounts, legal assistance, and additional discounts
\n$125,000 - $152,000 a year
Compensation details: The salary for this position is $125,000 - $152,000 annually, plus bonus and generous benefits. In determining your salary, we will consider your location, experience, and other job-related factors. \n#LI-RC1 #LI-Remote