[Hiring] Data Scientist, Credit Risk Analytics @Prosper

Role Description

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 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 techniques 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.

Qualifications

• 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.
• Advanced degree (M.S./PhD) preferably in statistics, computer science, engineering, physical sciences, economics, or related technical field.
• Sr. level: M.S. with 6+ years of experience or PhD with 3+ years of experience.
• 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 a 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.

Benefits

• A competitive salary and a 401(k) with a 5% company match to help you build long-term financial security.
• 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.
• 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.

Compensation Details

• The salary for Data Scientist level is $129,000 - $179,000 annually, plus bonus and generous benefits.
• The salary for Sr. Data Scientist level is $157,000 - $205,000 annually, plus bonus and generous benefits.