Data Scientist (Credit Risk Analytics)

• 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
• Build industry-leading machine learning models for managing credit and fraud risks
• 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
• 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

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

• Self-motivated, results-oriented, enthusiastic, and a creative thinker
• Advanced degree (M.S./PhD) preferably in statistics, computer science, engineering, physical sciences, economics, or related technical field
• 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
• Ability to work unsupervised in fast-paced environment and prioritize among parallel projects
• Strong interpersonal skills – collaborate with people across functions and develop strong relationships
• 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
• Ability to think within regulatory guidelines with a mindset toward reproducible research
• Expert knowledge in one of the statistical programming languages such as Python, and database languages such as SQL

• 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