Your role in our mission
Prosper is seeking a Data Scientist for the Data Science team under our Credit Risk Analytics vertical. You will become a core contributor with machine learning expertise on the credit risk team and deliver results that directly impact our business.
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
Our Story & Team // Our Blog
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.
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
Sr. level: M.S. with 6+ years of experience or PhD with 3+ years of experience
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
