Jobs
Required Skills
Credit risk management
Machine learning
Consumer lending
Leadership
Data analysis
Your role in our mission
As the first peer to peer lending marketplace in the United States, Prosper has a history of innovation. As a growing company that generates cash (rare in the valley), Prosper also has a history of generating results.
The Director, Credit Risk Analytics is responsible for underwriting credit strategies and oversight of credit quality and performance of the Personal Loan portfolios. They will review, analyze, and enhance the risk strategies through the use of Machine Learning models and credit data to manage the acquisition growth while delivering expected returns to the investors. They will be responsible for the life cycle of credit management including compliance with requirements of regulators and internal control and will recommend opportunities and propose resolutions for improved efficiency, effectiveness, and/or risk reduction for the portfolio. The Director, Credit Risk will work with cross-functional teams in Product, Engineering, Legal/Compliance and Marketing to deliver the credit strategies as per design.
The ideal candidate is expected to bring broad and in-depth consumer lending expertise to the team, be comfortable to be hands-on to guide the team to develop strategies for automated credit decisions, own the end-to-end process to ensure the credit strategies are performing as expected to support business growth while managing credit losses effectively. They should be a passionate business and people leader who has the business acumen and domain expertise to guide the team to tackle challenges in novel and effective ways. Making better, faster and more agile risk strategies keeps our marketplace competitive and ensures that we continue to deliver on our mission of advancing financial well-being.
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About Prosper

Prosper
Series CProsper Marketplace, Inc. is a San Francisco, California-based financial services company that operates Prosper.com, one of the first peer-to-peer lending platforms in the United States.
201-500
Employees
San Francisco
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
4.0
Compensation
1.8
Culture
2.1
Career
2.5
Management
2.3
25%
Recommend to a Friend
Pros
Good work-life balance
Great company culture
Nice and respectful people
Cons
Poor management and leadership
Payment and payroll issues
Unprofessional work environment
Salary Ranges
4 data points
L3
L3 · Junior Data Scientist
1 reports
-
total / year
Base
-
Stock
-
Bonus
-
Interview Experience
2 interviews
Difficulty
2.5
/ 5
Duration
21-35 weeks
Experience
Positive 50%
Neutral 50%
Negative 0%
Interview Process
1
Application Review
2
Initial Interview
3
In-Person/Location Meeting
4
Experience Discussion
5
Background Check
6
Final Decision
Common Questions
Past Experience
Behavioral/STAR
Culture Fit
Value Proposition
News & Buzz
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Source: Community Impact | News
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Source: Money US News.com
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Source: WLTX
News
·
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