The Role
Build and deploy machine learning models for credit and fraud risk, analyze portfolio performance, monitor models in production, develop risk strategies, collaborate with engineering and cross-functional partners, and conduct high-impact ad-hoc analyses to inform business decisions.
Summary Generated by Built In
Your role in our mission
Prosper is seeking a Data Scientist under the Credit Risk Analytics vertical. You will become a core contributor with machine learning expertise in the credit risk team, delivering results that directly impact business value. This is a unique, hybrid role where you will not only build and deploy industry-leading predictive models but also play a critical role in shaping our credit risk strategy and business decisions.
How you’ll make an impact
- Build industry-leading machine learning models for managing credit and fraud risks. Collaborate closely with engineering to deploy models into a production environment.
- Leverage complex data sources (e.g., credit bureau reports, customer-supplied information) at scale to develop credit and fraud strategies to improve the credit performance and optimize risk decisions.
- Propose and execute strategic solutions to complex business problems, operating effectively within constraints and aligning with broader company objectives.
- Analyze ad-hoc 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.
- Help the team develop internal tools and workflow solutions to increase data science productivity and operational efficiency.
- Actively monitor credit risk models and strategies in production, extracting actionable insights to significantly impact key business metrics.
- Assess the potential usefulness and validity of new machine learning algorithms and features sourced from diverse, alternative data providers.
- Conduct high-impact, ad-hoc analyses supporting risk management, investor services, operations, and corporate development initiatives.
Skills that will help you thrive
- 2-3+ years of work experience in fintech, finance, or another high-impact field applying statistical and machine learning predictive techniques. Consumer lending experience in unsecured personal loans or credit cards is a strong plus.
- Advanced degree (M.S./Ph.D.) preferably in statistics, computer science, engineering, physical sciences, economics, or a related technical field.
- Expert knowledge of statistical programming languages (e.g., Python) and database languages (e.g., SQL).
- Solid understanding of coding best practices, model documentation, and ML ops principles.
- Strong communication skills with the ability to translate complex technical subject matter into clear, actionable business strategies for cross-functional partners and senior management.
- Strong ability to collaborate seamlessly with people across various functions (engineering, product, compliance) and build strong relationships.
- Ability to work unsupervised in a fast-paced environment, effectively prioritizing among parallel technical and strategic projects.
- Ability to innovate within regulatory guidelines with a strong commitment to reproducible research and model governance.
- Self-motivated, results-oriented, enthusiastic, and a creative thinker who bridges the gap between data science and business strategy.
Resources to help you prosper
- 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
Interview Process
- 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.
- Team/Virtual Interview: Meet team members for collaborative discussions, problem-solving, or technical exercises.
- Final Round: Discussion with a department head/executive.
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About Us
Prosper introduced U.S. consumers to an innovative approach to personal finance as the first peer-to-peer lending platform in the country. Since 2005, Prosper has helped over 2 million customers achieve financial well-being through a comprehensive suite of digital personal finance products.
Prosper’s flagship personal loan* marketplace continues to offer unique value for both borrowers and investors, while the Prosper® Card¹ provides essential access to credit and flexibility for those managing their financial journey. Guided by its mission to advance financial well-being, Prosper is dedicated to helping people thrive by meeting people where they are with simple, trusted, and affordable financial solutions. Learn more at www.prosper.com.
We’re on a mission to hire the very best, and we are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere. It is important to us that every hire connects with our vision, mission, and core values. Join a leading fintech company that’s democratizing finance for all!
Our Values
- Diversity expands opportunities
- Collaboration creates better solutions
- Curiosity fuels our innovation
- Integrity defines all our relationships
- Excellence leads to longevity
- Simplicity guides our user experience
- Accountability at all levels drives results
www.prosper.com
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Applicants have rights under Federal Employment Laws.
Family & Medical Leave Act (FMLA)
Equal Employment Opportunity (EEO)
Employee Polygraph Protection Act (EPPA)
California applicants: please click here to view our California Consumer Privacy Act (“CCPA”) Notice for Applicants, which describes your rights under the CCPA.
Illinois applicants: please click here to view our Artificial Intelligence Notice for Applicants.
At Prosper, we're looking for people with passion, integrity, and a hunger to learn. We encourage you to apply even if your experience doesn't precisely match the job description. Your unique skill set and diverse perspective will stand out and set you apart from other candidates. Prosper thrives with people who think outside of the box and aren't afraid to challenge the status quo. We invite you to join us on our mission to advance financial well-being.
Prosper is committed to an inclusive and diverse workplace. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law, including the San Francisco Fair Chance Ordinance. Prosper will consider for employment qualified applicants who are non-US citizens and will provide green card sponsorship.
*All personal loans are made by WebBank.
¹The Prosper® Card is an unsecured credit card issued by Coastal Community Bank, Member FDIC, pursuant to license by Mastercard® International.
Skills Required
- 2-3+ years of work experience applying statistical and machine learning predictive techniques (fintech/finance preferred)
- Advanced degree (M.S./Ph.D.) in statistics, computer science, engineering, physical sciences, economics, or related technical field
- Expert knowledge of statistical programming languages (e.g., Python)
- Expert knowledge of database languages (e.g., SQL)
- Solid understanding of coding best practices, model documentation, and MLOps principles
- Strong communication skills to translate technical findings into actionable business strategies
- Ability to collaborate across engineering, product, and compliance teams
- Ability to work unsupervised and prioritize multiple technical and strategic projects
- Commitment to reproducible research and model governance within regulatory guidelines
- Consumer lending experience (unsecured personal loans or credit cards)
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The Company
What We Do
Prosper’s mission is to advance financial well-being. The company’s online lending platform connects people who want to borrow money with individuals and institutions that want to invest in consumer credit. Borrowers get access to affordable fixed-rate, fixed-term personal loans. Investors have the opportunity to earn solid returns via a data-driven underwriting model. To date, over $17 billion in personal loans have been originated through the Prosper platform for debt consolidation and large purchases such as home improvement projects, medical expenses and special occasions.
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