Employment
Credit Risk Analyst
Posted: 51 years621 months2664 weeks18649 days ago
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