Offer summary

Qualifications:

Bachelor's degree in Business, Statistics, Mathematics, Computer Science, Engineering, or Economics with 5+ years of relevant experience, or a Master's degree with 3+ years of experience., Strong analytical and problem-solving skills, with proficiency in SQL and familiarity with R, Python, and Tableau., Experience in managing credit risk and/or fraud in the consumer lending industry, with knowledge of statistical procedures and financial analytic tools., Excellent communication skills to convey technical information clearly to team members and senior management..

Key responsabilities:

Develop and implement fraud strategies using data and advanced analytics tools to mitigate losses.

Monitor and analyze portfolio performance, identifying trends and conducting root-cause analysis.

Collaborate with cross-functional teams to implement strategies and ensure compliance with regulatory requirements.

Conduct ad-hoc analyses related to risk management and continuously innovate by testing new data and analytics approaches.

Job description

The Role

This 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

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

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