Senior Credit Risk Analyst
Confirmed live in the last 24 hours
Prosper Funding

201-500 employees

Peer-to-peer lending marketplace offering financial solutions
Company Overview
Prosper Marketplace, the first peer-to-peer lending marketplace in the United States, has a proven track record of financial leadership, having facilitated over $21 billion in loans to more than 1.3 million people since its inception in 2005. The company's commitment to transparency and customer-centricity is reflected in its A+ rating from the Better Business Bureau and its position on the Board of Directors for the American Fintech Council. Prosper's robust security measures and diverse product offerings, including personal loans, credit cards, and home equity lines of credit, provide a competitive advantage in the fintech industry.
Fintech

Company Stage

Series G

Total Funding

$487.4M

Founded

2005

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

-1%

1 year growth

-2%

2 year growth

14%
Locations
United States
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Science
R
SQL
Tableau
Marketing
Data Analysis
CategoriesNew
Data & Analytics
Requirements
  • Bachelor's degree in Business, Statistics, Mathematics, Computer Science, Engineering or Economics and 5+ years relevant experience managing credit/fraud risk OR a Master's degree in above areas with 3+ years relevant experience
  • Experience managing credit risk and/or fraud and/or data science in consumer lending industry, consumer credit card experience is a plus
  • Strong analytical and problem-solving skills
  • Experience using machine learning and statistical models to develop strategies
  • Strong proficiency in SQL. Knowledge of R, Python, Tableau, and Knowledge Seeker will be a plus
  • Fiserv and/or FICO fraud tool experience is a plus
  • Knowledge and experience of segmentation, statistical procedures, and financial analytic tools
  • Ability to work in a fast-paced environment and meet deadlines without sacrificing quality
Responsibilities
  • Develop credit strategies to improve credit performance using data, machine learning models, and advanced analytics tools
  • Bring innovative/out of the box thinking to make recommendations and approach/solve problems
  • Design A/B tests and understand the risk-return trade-offs
  • Develop loss forecasting projections for Personal Loan and improve forecasting accuracy
  • Partner with Product, Marketing, and Engineering teams to implement strategies and monitor the strategy performance
  • Conduct ad-hoc analysis related to risk management, investor services, product, and operations
  • Analyze portfolio performance at a granular segment level on an ongoing basis. Identify trends and conduct root-cause analysis to isolate key performance drivers
  • Communicate findings and recommendations to the Risk Management and broader Prosper community
  • Work with legal and compliance team to ensure strategies and policies comply with all the regulatory requirements
Desired Qualifications
  • Consumer credit card experience
  • Knowledge of R, Python, Tableau, and Knowledge Seeker
  • Fiserv and/or FICO fraud tool experience