Data Scientist

Data Scientist

About Us
Since 2005, Prosper has helped advance financial well-being for our users! With over 1 million users gaining access to $19 billion in loans, Prosper is the first peer-to-peer marketplace lender in US. It is built on a simple idea: connect people who want to borrow money with those who have money to invest. We are believers of advancing financial well-being and are passionate about offering our customers a portfolio of products from HELOC to Personal Loans and Credit Card. Our diverse culture rewards accountability and cross functional teamwork because we believe that this this enables the kind of innovative thinking that will accelerate our mission.  
We’re on a mission to hire the very best and 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
Accountability at all levels drives results
Collaboration creates better solutions 
Excellence leads to longevity 
Diversity fuels our innovation 
Simplicity guides our user experience 
Integrity defines all our relationships
Our Story & Team  //   Our Blog 

The Role
Prosper is seeking a Data Scientist for the Risk Analytics team. You will become a core contributor among a small group of data scientists to operations in credit risk and verification teams.

Problems You Will Solve

    • 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

About You

    • 2-3 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

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
Prosper is continuing to grow our team during the COVID-19 pandemic, conducting fully remote hiring and onboarding processes. Our philosophy as a business is to approach the Covid-19 situation with empathy and urgency. Prosper’s top priority is the health and safety of our employees and of the communities we serve, including our customers, partners, prospects, and candidates. 

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:

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.
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