Director, Data Science

The RoleProsper’s lending strategies have been powered by ML (machine learning) models since 2015 and continued to advance into new areas with proven performance and scalability. The Director role is newly created to build machine learning models for our Credit Card business. You will initiate and build critical card ML models by working closely with credit strategy teams and third-party solution providers. In this role you will work with a fast-paced and talented team that values innovation and teamwork. We value the right talent, so you can work remotely in the U.S.

Problems You Will Solve

• Lead a team to build cutting-edge machine learning models for card acquisition credit strategies (Underwriting/Line Assignment/Pricing) and credit management programs, such as credit line management, transaction fraud, payment fraud etc.
• Apply your knowledge in data, modeling, and analytical expertise to drive the growth of the card business
• Collaborate with cross-functional teams to manage the entire modeling cycle including model design, development, evaluation, validation, and performance tracking
• Evaluate third party solutions with strong business acumen to deliver results with high ROI
• Demonstrate exceptional business communication skills to translate complex modeling work into tangible business results
• Lead by example to show passion and enthusiasm towards new challenges and never cease to challenge the status quo

About You

• 10+ years of experience in credit card modeling for consumer lending business
• A strong machine learning education background and experienced in applying the skills to solve business problems
• Ability to formulate business problems and guide the team to deliver the results expected
• Demonstrated track record of organizational skills to provide viable options to balance the time-to-market expectations and the organizational cost of the changes
• Outstanding communication skills – ability to effectively communicate complex concepts in plain English, and comfortable with technical details to communicate with cross-functional stakeholders
• Advance degree (M.S./PhD) preferably in statistics, computer science, engineering, physical sciences, economics, or related technical field
• Comfortable to use Google Cloud data environment and broad stack of technologies such as Python, Spark, SQL and Tableau
• Familiar with regulatory guidelines in lending business

What We Offer

• The opportunity to collaborate with a team of creative, fun, and driven colleagues on products that have an immediate and significant impact on people's lives 
• The opportunity to work in a fast-paced environment with experienced industry leaders 
• Flexible time off, comprehensive health coverage, competitive salary, 401(k) employer match, paid parental leave 
• Wellness benefits including access to mental health resources, virtual HIIT and yoga workouts 
• A bevy of other perks including Udemy access, childcare assistance, pet insurance discounts, legal assistance, and additional discounts through Perkspot 
• The ability to work remotely in the United States 

#LI-Remote#LI-SK1
About UsFounded in 2005 as the first peer-to-peer marketplace lending platform in the U.S., Prosper was built on a simple idea: connect people who want to borrow money with those who want to invest. Since inception, Prosper has helped more than 2 million people gain access to affordable credit with over $27 billion in loans originated through its platform. Our mission is to help our customers advance their financial well-being through a variety of products including personal loans, credit, home equity lines of credit (HELOC), and our newest product, HELoan. Our diverse culture rewards accountability and cross functional teamwork because we believe this encourages innovative thinking and helps us deliver on our mission.   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 ValuesDiversity expands opportunitiesCollaboration creates better solutions Curiosity fuels our innovationIntegrity defines all our relationshipsExcellence leads to longevity Simplicity guides our user experience Accountability at all levels drives results
www.prosper.comOur 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: https://www.prosper.com/plp/legal/privacy-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.