Prosper is built on a simple idea: connect people who want to borrow money with those that have money to invest. Through Prosper, borrowers get access to fixed and low-rate loans and investors in those loans can earn solid returns. Our mission is to help build financial well-being for our users. Since our launch in 2005 as the first peer-to-peer lending marketplace in the US, more than 1 million loans have been provided through the Prosper platform. We’ve helped people gain access to more than $18 billion in loans for everything from consolidating credit card debt, making home improvements, and even paying for costly medical expenses.

Backed by leading investors like Sequoia Capital, Francisco Partners, Institutional Venture Partners, and Credit Suisse NEXT Fund, our platform is developed and supported with pride in our downtown San Francisco and sunny Phoenix offices. 

www.prosper.com

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We are looking for an experienced data scientist who shares our vision of responsible adoption of technology and who would be excited to be part of a mission-driven team. In this role you will become a core contributor among a small group of data scientists to operations in credit risk and verification teams. The candidate is expected to have strong data analytics skills, statistical acumen, machine learning know-how, and a passion for solving these challenges in innovative and effective ways. The faster and more agile risk strategies keep our marketplace competitive and ensure that we continue to deliver on our mission of advancing financial well-being.

What You Will Do

• build industry-leading predictive models for managing credit and fraud risks
• leverage multiple complex data sources such as credit bureau reports and customer supplied information at large scale to optimize approve/decline and credit line assignment decisions
• collaborate with engineers to deploy your models into a production environment
• propose and execute solutions to ill-defined problems within business constraints
• help the team with developing tools and workflow solutions to increase data science productivity
• extract the most value out of data to significantly impact our key business metrics
• assess the potential usefulness and validity of new statistical approaches and data sources
• advise on best practices and statistical methods for evaluating and measuring experiments
• conduct ad-hoc analysis related to risk management, investor services, operations and corporate development
• motivate and mentor other data scientists to grow their skills, careers, and thinking styles

What You Will Need to Have

• 3-5 years of experience in fintech or finance applying statistical and machine learning predictive techniques
• expert knowledge in one of the statistical programming languages such as Python or R, and database languages such as SQL
• solid understanding of coding best practices and model documentation
• advanced degree (M.S./PhD) preferably in statistics, computer science, engineering, physical sciences, economics, or related technical field
• 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

We offer an excellent compensation and benefits plan for benefits-eligible employees, including incentive bonuses, stock options, company-paid health, dental, and vision insurance, paid vacation time, 401(k) with employer-match and more!

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: https://www.prosper.com/plp/legal/privacy-notice-for-applicants/