Credit Risk Analyst

Type: Direct Hire

Compensation: 75-125K (depends on experience)

Level: Executive

Division: Accounting/Finance

 

Job Description:

 Analyst to help build and create underwriting and collections models, profitability and performance analysis, and develop test and control strategies.

 Use analytical methods including computer and data analysis to build credit and risk models including credit underwriting, product optimization, and operational process analysis

 Demonstrated operational experience using SAS or other standard analytic tools for organizing and solving business analyses

 Demonstrated experience using SQL databases and building reports with Tableau, Crystal reports, or other industry-accepted reporting packages

 Query data for developing and use data for validating the models through financial judgment and statistical tests

 Use data-oriented approach to work with others in solving complex business problems around profitability, marketing, risk, and operational analysis

 Design experiments and use various test and control strategies for collections, marketing, and operations, analyze results, and build predictive models to forecast future outcomes

 Perform data-oriented ‘what if’ and ‘ad-hoc’ analysis to support business strategy optimization in profitability, marketing, risk and operations

 

Job Qualifications:

 Equivalent Education Level Required: Bachelor’s Degree (Engineering, Science, Mathematics, Economics with emphasis in statistics, strongly Preferred). MS degree preferred. Would benefit from courses in advanced mathematics, computer programming, economics, and operations research.

 Experience Required: 3+ years’ experience in credit, risk management, or fraud analysis (5+ preferred).

 Knowledge Required: Strong written and verbal communication skills, SAS Experience required (SAS Certification preferred), Credit model/underwriting model development (Experience doing this in Specialty Finance preferred), Experience creating linear and logistic regression as well as decision tree models, and basic understanding of statistical principals (p-value, etc.). Comfortable with solving complex problems, working with computers and technology, and using higher level mathematics.

 Travel: As needed, but not expected to be more than 10%.

 

If you are interested in this position, please send resume/CV and cover letter to Meg@scgssm.org