Data Scientist, Credit Risk Analytics
At a glance
Mid-level Data Science role at Prosper. Remote, United States · full-time · $129,000–$179,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build machine-learning models and strategies that address credit and fraud risk while improving lending decisions
- Use bureau records and customer-provided data to assess risk at scale and strengthen credit performance
- Work with engineers to put your models into production, then track how they perform
- Test algorithms and features across data sources, and use findings to guide risk decisions
- Analyze questions from risk management, investor services, operations, and corporate development
What you bring
- At least three years using statistical or machine-learning prediction methods in fintech, finance, or another high-impact field
- Strong command of a statistical programming language such as Python and a database language such as SQL
- A solid grasp of coding standards and documenting models
Who this fits
This mid-level role suits a data scientist who can apply machine learning to credit and fraud risk, collaborate across teams, and work within regulatory rules. The position is fully remote within the United States. Consumer lending experience with unsecured personal loans or credit cards is a plus.
From the employer
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
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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.
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Collaborate with engineers to deploy your models into a production environment
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Propose and execute solutions to various problems within business constraints
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Use responsible AI technique following regulatory requirements and lending best practices
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Help the team with developing tools and workflow solutions to increase data science productivity
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Actively monitor the credit risk models in production
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Extract the most value out of data to significantly impact our key business metrics
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Assess the potential usefulness and validity of machine learning algorithms and features through various data sources
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Conduct ad-hoc analysis related to risk management, investor services, operations and corporate development
Skills that will help you thrive
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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
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Advanced degree (M.S./PhD) preferably in statistics, computer science, engineering, physical sciences, economics, or related technical field
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Expert knowledge in one of the statistical programming languages such as Python, and database languages such as SQL
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Solid understanding of coding best practices and model documentation
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Strong communication skills – ability to clearly and succinctly communicate technical subject matter to other team members and senior management
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Strong interpersonal skills – collaborate with people across functions and develop strong relationships
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Ability to work unsupervised in fast-paced environment and prioritize among parallel projects
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Ability to think within regulatory guidelines with a mindset toward reproducible research
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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
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
*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.
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