Data Scientist

Who you are

• 2-3+ years of work experience in fintech, finance, or another high-impact field applying statistical and machine learning predictive techniques. Consumer lending experience in unsecured personal loans or credit cards is a strong plus
• Advanced degree (M.S./Ph.D.) preferably in statistics, computer science, engineering, physical sciences, economics, or a related technical field
• Expert knowledge of statistical programming languages (e.g., Python) and database languages (e.g., SQL)
• Solid understanding of coding best practices, model documentation, and ML ops principles
• Strong communication skills with the ability to translate complex technical subject matter into clear, actionable business strategies for cross-functional partners and senior management
• Strong ability to collaborate seamlessly with people across various functions (engineering, product, compliance) and build strong relationships
• Ability to work unsupervised in a fast-paced environment, effectively prioritizing among parallel technical and strategic projects
• Ability to innovate within regulatory guidelines with a strong commitment to reproducible research and model governance
• Self-motivated, results-oriented, enthusiastic, and a creative thinker who bridges the gap between data science and business strategy

What the job involves

• Prosper is seeking a Data Scientist under the Credit Risk Analytics vertical.
• You will become a core contributor with machine learning expertise in the credit risk team, delivering results that directly impact business value.
• This is a unique, hybrid role where you will not only build and deploy industry-leading predictive models but also play a critical role in shaping our credit risk strategy and business decisions
• Build industry-leading machine learning models for managing credit and fraud risks. Collaborate closely with engineering to deploy models into a production environment
• 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
• Propose and execute strategic solutions to complex business problems, operating effectively within constraints and aligning with broader company objectives
• Analyze ad-hoc portfolio performance at a granular segment level on an ongoing basis. Identify trends and conduct root-cause analysis to isolate key performance drivers. Communicate findings and recommendations to the Risk Management and broader Prosper community
• Help the team develop internal tools and workflow solutions to increase data science productivity and operational efficiency
• Actively monitor credit risk models and strategies in production, extracting actionable insights to significantly impact key business metrics
• Assess the potential usefulness and validity of new machine learning algorithms and features sourced from diverse, alternative data providers
• Conduct high-impact, ad-hoc analyses supporting risk management, investor services, operations, and corporate development initiatives

The application 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

Benefits

• Take-what-you-need (paid) vacation for salaried employees
• 20 days of PTO and 7 paid holidays/year for hourly employees
• Stock options
• 401K retirement savings plan with generous matching
• Comprehensive health, dental and vision insurance plans, with options specific to your own health coverage needs
• Prosper Fit - A monthly stipend to use for gym memberships, personal training sessions, yoga and exercise classes, or club sports/fitness fees
• Pre-tax commuter/parking assistance
• Snacks and beverage selections in our kitchen
• Monthly meet-and-greet happy hours
• Perkspot discount programs
• One Medical
• SF Location - Rooftop deck with ping-pong and foosball table