How you’ll make an impact
- Build industry-leading machine learning models for managing credit and fraud risks
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.
Collaborate with engineers to deploy your models into a production environment
Propose and execute solutions to various problems within business constraints
Use responsible AI technique following regulatory requirements and lending best practices
Help the team with developing tools and workflow solutions to increase data science productivity
Actively monitor the credit risk models in production
Extract the most value out of data to significantly impact our key business metrics
Assess the potential usefulness and validity of machine learning algorithms and features through various data sources
Conduct ad-hoc analysis related to risk management, investor services, operations and corporate development
Skills that will help you thrive
3+ years of work experience in fintech, finance, or other high impact fields applying statistical and machine learning predictive techniques (educational experience taken into consideration). Consumer lending experience in unsecured personal loan or credit card is a plus
Advanced degree (M.S./PhD) preferably in statistics, computer science, engineering, physical sciences, economics, or related technical field
Expert knowledge in one of the statistical programming languages such as Python, and database languages such as SQL
Solid understanding of coding best practices and model documentation
Strong communication skills – ability to clearly and succinctly communicate technical subject matter to other team members and senior management
Strong interpersonal skills – collaborate with people across functions and develop strong relationships
Ability to work unsupervised in fast-paced environment and prioritize among parallel projects
Ability to think within regulatory guidelines with a mindset toward reproducible research
Self-motivated, results-oriented, enthusiastic, and a creative thinker
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
- Technical Interview: Deeper dive into coding skills
- Team/Virtual Interview: Meet team members for collaborative discussions, problem-solving, or technical exercise
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.
- 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
*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)
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.
