Develop credit strategies to improve the credit performance by using data, machine learning models and advanced analytics tools to optimize risk decisions
Lead end-to-end risk and analytics strategy for Prosper's Credit Card, from pre-launch through portfolio optimization, including underwriting policies, pricing and credit line strategies, and acquisition frameworks that balance growth targets with risk parameters
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 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

Requirements

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 in credit risk management and/or fraud and/or data science in consumer lending industry, consumer credit card experience is a plus
Background in product launches, new portfolio buildout, or go-to-market analytics 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
Eager to learn new tools, technologies, and methodologies to stay ahead of industry trends. Growth mindset—continuously learning, experimenting, and improving both personally and as part of the team
Strong ownership and motivation to drive business results
Ability to work in a fast-paced environment and meet deadlines without sacrificing quality
Team player who thrives in collaborative, cross-functional environments

Benefits

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, and other wellness benefits.
A bevy of other perks including Udemy access, childcare assistance, pet insurance discounts, legal assistance, and additional discounts through Perkspot.
The ability to work remotely in the United States.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

credit risk managementfraud risk managementdata sciencemachine learningstatistical modelsSQLPythonTableausegmentationfinancial analytics

Soft Skills

analytical skillsproblem-solving skillscommunication skillscuriositygrowth mindsetownershipmotivationcollaborationinnovationadaptability