Job description

The Role

The successful candidate will join Prosper’s Collections & Recoveries Department. The team leverages advanced analytics tools, cutting edge data and techniques to develop collection and recovery strategies for Prosper’s Personal Loan and Credit Card product to improve collections effectiveness, efficiency and experience. 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 strategies keep our marketplace competitive and ensure that we continue to deliver on our mission of advancing financial well-being.

Problems You Will Solve

Conduct analysis and deliver analytical insights to enable and optimize the end-to-end collection and recovery strategies by using data, machine learning models and advanced analytics tools.

Analyze portfolio performance at a granular segment level on an ongoing basis. Identify trends and conduct root-cause analysis to isolate key performance driver.

Communicate findings and recommendations to Collection and Recovery strategy and operations management and broader Prosper community.

Bring innovative/out of the box thinking to make recommendations and to approaching/solving problems.

Design A/B tests and understand the risk-return trade-offs.

Partner with Operations, Risk, Product, Marketing and Engineering teams to implement strategies and monitor strategy performance.

Continue to innovate by testing new data, analytics approaches and models.

Conduct ad-hoc analysis related to risk management, investor services, product, and operations

About You

Bachelor's degree in Business, Statistics, Mathematics, Computer Science, Engineering or Economics and 5+ years relevant experience OR a Master's degree in above areas with 3+ years relevant experience.

Experience in collections, marketing or credit risk management in consumer lending industry is a plus.

Strong analytical and problem-solving skills.

Experience using machine learning and statistical models to develop strategies.

Must have strong proficiency in SQL. Knowledge of R, Python, Tableau, Looker and Knowledge Seeker will be 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

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