Of the required experience, must have 2 years of experience with the following: Data management and data engineering in cloud environment, such as AWS (Amazon Web Services) and Microsoft Azure; Financial analysis for Comprehensive Capital and Analysis Review (CCAR) using the Dodd-Frank Act stress tests (DFAST) for capital planning and adequacy and resilience; Statistical analysis, including fair lending for financial institutions; Development, validation, and documentation of economic, financial, and mathematical models; Econometric and regression analyses including time series and panel data, multinomial logit, vector autoregression, error correction models; Machine learning methods including Natural Language Processing (NLP); Predictive analyses of risk or fraud for business decisions and compliance with regulations; and Utilizing STATA, SAS, Python, SQL, or R. D. in Finance, Economics, Statistics, Applied Mathematics, Computer Science, Information Management, or a related field and 2 years of related work experience; OR a Bachelors degree or foreign equivalent in Finance, Economics, Statistics, Applied Mathematics, Computer Science, Information Management, or a related field, and 7 years of related work experience, out of which 5 years must be post-bachelors, progressive related work experience.