Flag job

Report

Data Scientist (Senior levels open)

Salary

$126k - $186k

Min Experience

3 years

Location

United States

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

Prosper is seeking a (Sr.) 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. We are open to hiring at a Senior Data Scientist or Data Scientist level. Senior DS - MS with 6+ years of experience or PhD with 3+ years of experience Data Scientist - MS with 3+ years, or PhD with less experience Problems You Will Solve 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 About You 3 - 6+ years of work experience in fintech, finance, or other high impact field 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

About the company

Founded in 2005 as the first peer-to-peer marketplace lending platform in the U.S., Prosper was built on a simple idea: connect people who want to borrow money with those who want to invest. Since inception, Prosper has helped more than 2 million people gain access to affordable credit with over $28 billion in loans originated through its platform. Our mission is to help our customers advance their financial well-being through a variety of products including personal loans, credit, home equity lines of credit (HELOC), and our newest product, HELoan. Our diverse culture rewards accountability and cross functional teamwork because we believe this encourages innovative thinking and helps us deliver on our mission.

Skills

Python
SQL