Offer summary

Qualifications:

Bachelor's or Master's degree in Business, Statistics, Mathematics, Computer Science, Engineering, or Economics., 5+ years of experience managing credit/fraud risk or 3+ years with a Master's degree., Proficient in SQL, Python, and Tableau., Experience in consumer lending or credit card expertise is preferred..

Key responsabilities:

Develop credit strategies using data and analytics tools.

Analyze portfolio performance and communicate findings.

Job description

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.

Problems You Will Solve

Develop credit strategies to improve the credit performance by using data, machine learning models and advanced analytics tools to optimize risk decisions

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

Develop loss forecasting projections for Personal Loan and Improve forecasting accuracy

Partner with Product, Marketing and Engineering teams to implement strategies and monitor the 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

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 the Risk Management and broader Prosper community

Work with legal and compliance team to ensure strategies and policies comply with all the regulatory requirements

About You

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

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 machine learning and statistical models to develop strategies

Must have strong proficiency in SQL, Python and Tableau. Knowledge of R 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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