Job Title: Fair and Responsible Banking Data Analyst
What will your day look like?
The Fair and Responsible Banking (F&RB) Data Analyst is responsible for performing and maintaining in-house fair lending statistical analytical programs for identifying fair lending risks using strong econometrics and programming skills plus regression analysis and statistical techniques for disparate impact testing for our lending business. The incumbent will participate in model validations to assess potential fair lending risk of the model variables. While the F&RB Data Analyst will primarily support the F&RB program, the incumbent will also provide data analytics support to Chief Compliance Officer and the entire Compliance department on ad hoc data projects such as in our Global Financial Crimes team or to assist in testing or issues management analysis.
Direction is received from the Manager, Fair and Responsible Banking.
Do you see yourself doing this?
- Perform statistical analysis to determine risk associated with underwriting, pricing, and servicing.
- Develop and implement in-house processes for data mining, data assessment, validation, analysis, and correction to determine any limitations on reliability or usability of the data for conducting the analysis and testing.
- Review business models for fair lending compliance, including both traditional and machine learning / artificial intelligence models (ML/AI).
- Perform research and development relating to fair lending risk monitoring and fair lending model review.
- Prepare report of analysis; present statistical results in non-technical terms.
- Create model documentation; ensure adequacy of statistical models.
- Review fair lending data analyses, compliance reports, and complaints.
- Query, analyze and/or evaluate data from other compliance programs such as Global Financial Crimes, consumer and member complaint data, testing data needs, compliance senior management or board reporting, and issues management.
- Adhere to enterprise responsibilities and Business Intelligence standards and support the Enterprise Business Intelligence Community.
What makes you a great fit?
- Bachelor’s degree in a quantitative field (e.g. Statistics, Economics, Applied Mathematics, Computer Science), required
- 4+ years’ experience in designing and conducting fair lending statistical analysis for a bank, a consumer financial product company such as a non-depository mortgage lender, a banking regulator (e.g., OCC, CFPB) or other related government regulatory or enforcement agencies is a plus
- Knowledge of how consumer financial products such as mortgage and credit card are underwritten and priced preferred
- Experience in developing, implementing and evaluating linear/logistic regression models
- Experience with Tableau preferred
- Excellent communication skills, verbal and written; ability to communicate technical matters in a non-technical way
- Experience with MS Word, Excel and PowerPoint
- Strong proficiency in time management and organizational sills
- High level of detail orientation