Data Scientist, Credit Risk Analytics Hybrid
PayPal
Chicago, Illinois, US
About the Role
A leading financial technology firm seeks an experienced Data Scientist in Chicago to apply statistical techniques and algorithms to predict risk and revenue, enhance credit portfolio performance, and solve complex data problems. The ideal candidate holds a Master's degree in a quantitative field and has two years of relevant experience, particularly in credit-risk analytics. Experience in Python, machine learning, and SQL is essential for success in this role, which offers a competitive salary range and potential bonuses. #J-18808-Ljbffr
Qualifications
- Master's degree in a quantitative field
- 2 years of relevant experience in credit-risk analytics
- Python
Required Skills
Python
machine learning
SQL
statistics
data analysis
Keywords
data science
credit risk
risk analytics
finance
statistics
Interested in this role?
Apply now and take the next step in your career.
Job Overview
Date Posted
3 days ago
Location
Chicago, Illinois, US
Job Type
Full-time
Work Mode
Hybrid
Experience
2+ years
Category
Data science, Credit risk analytics, Financial analytics
About the Company
PayPal
information technology & services
San Jose, United States
25000 employees
31.8B
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