Remote Market Risk Analyst Jobs (NOW HIRING)

• 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

• 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 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

• A connected experience: We prioritize high-touch collaboration and flexibility. Whether you are working from our San Francisco or Phoenix offices or joining us as a fully remote team member, we provide the digital-first tools and intentional culture to keep you synced and supported
• Invested in your future: A competitive salary and a 401(k) with a 5% company match to help you build long-term financial security
• Holistic well-being: We provide the resources you need to thrive, from flexible time off and paid parental leave to an annual wellness allowance and comprehensive health coverage
• Professional & personal growth: Take advantage of a suite of premium perks, including Udemy access, childcare assistance, pet insurance, and a bevy of additional savings through Beneplace

• Recruiter Call: A brief screening to discuss your experience and initial questions
• Department Interview: Deeper dive into technical skills and project alignment with the Hiring Manager or team member
• Technical Interview: Live, collaborative coding session 
• Team/Virtual Interview: Meet team members for collaborative discussions

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.