Data Scientist, Credit/Fraud Strategy @ Fora Financial

Role: Data Scientist, Credit/Fraud Strategy

Company: Fora Financial

Location: New York City

Required Technical and Professional Expertise:

B.S. degree or higher in Statistics, Applied Math, Computer Science, Engineering or other quantitative program
5 years minimum experience with credit risk modeling
Proven track record of building new models and improving existing models
Deep understanding of consumer credit report variables/attributes at both summary and tradeline level 
Experience with small business lending and portfolio management is a plus
Passionate about solving problems with data and high level of intellectual curiosity 
Thorough understanding of various statistical modeling techniques
Proficiency in at least one of the following languages: R, SAS, SQL, Python
Highly motivated to work on multiple projects in parallel and team player with a startup spirit
Very strong written and oral communication skills and ability to present findings with a non-technical audience