The Data Scientist will develop machine learning models for credit risk, collaborate with engineers for model deployment, and optimize decisions using data analysis.
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.
How you'll make an impact
- Build industry-leading machine learning 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 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 - 6 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
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, paid parental leave, and other wellness benefits.
- 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.
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.
- Team/Virtual Interview: Meet team members for collaborative discussions, problem-solving, or technical exercises.
- Final Round: Discussion with a department head/executive.
#LI-RC1
#LI-Remote
About Us
Founded 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 $28 billion in loans originated through its platform. Our mission is to help our customers advance their financial well-being through a variety of products. 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 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.
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.
Top Skills
Python
SQL
Similar Jobs
Artificial Intelligence • Information Technology • Marketing Tech • Software • SEO
The Data Scientist will develop and evaluate AI-augmented information retrieval models, build NLP pipelines, and contribute to knowledge graph work while collaborating with Engineering, Product, and Marketing teams.
Top Skills:
AirflowBigQueryClickhouseDbtHugging FacePostgresPythonPyTorchSQLVector Databases
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
The Geospatial Data Scientist will support GEOINT analysts in creating data architectures and integrating algorithms for intelligence requirements, with a strong emphasis on data science techniques and GEOINT operations.
Top Skills:
JuliaPythonRSQL
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Data Scientist, you'll collaborate with teams to develop machine learning models, leveraging large datasets to generate insights and drive innovation in employee experience.
Top Skills:
AWSCondaH2OPythonSpark
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
