Data Scientist

Prosper

12d • $129,000 - $179,000 • Remote

About The Position

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.

Requirements

• 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

Nice To Haves

• Consumer lending experience in unsecured personal loan or credit card is a plus

Responsibilities

• 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

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees