Advanced degree (M.S./PhD) in statistics, computer science, engineering, or related fields., 3 to 6+ years of experience in fintech, finance, or high-impact fields applying machine learning techniques., Expertise in Python programming and SQL database languages., Strong communication and collaboration skills, with the ability to work independently in a fast-paced environment..
Key responsibilities:
Build and deploy machine learning models for credit and fraud risk management.
Analyze complex data sources to optimize credit decisions.
Collaborate with engineering teams to deploy models into production.
Monitor and assess the performance of credit risk models in production.
Report this Job
Help us maintain the quality of our job listings. If you find any issues
with this job post, please let us know. Select the reason you're reporting
this job:
Prosper Marketplace, a fintech pioneer with a mission to advance financial wellbeing by providing affordable financial solutions to consumers across the credit spectrum, Prosper's product offering includes personal loans, credit cards, and home equity lines of credit.
All personal loans made by WebBank.
NMLS #111473 (https://www.nmlsconsumeraccess.org/)
Prosper Marketplace is an equal housing lender.
The Prosper® Card is an unsecured credit card issued by Coastal Community Bank, Member FDIC pursuant to a license by Mastercard International.
(Notes by Prospectus: https://prosper.com/prospectus/)
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.
Problems You Will Solve
Build industryleading 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 approvedecline 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 adhoc 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 fastpaced environment and prioritize among parallel projects
Ability to think within regulatory guidelines with a mindset toward reproducible research
Selfmotivated, resultsoriented, enthusiastic, and a creative thinker
#IND1
#LIRemote
About Us
Founded in 2005 as the first peertopeer 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 $27 billion in loans originated through its platform. Our mission is to help our customers advance their financial wellbeing 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.
We’re on a mission to hire the very best, and we are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere. It is important to us that every hire connects with our vision, mission, and core values. Join a leading fintech company that’s democratizing finance for all!