Education Requirementsbr Masters degree in Statistics with emphasis in applied consulting and SAS programming.br br Skill Requirementsbr Must possess the following experience gained either through industry experience or graduate level academic studiesbr Utilizing relational database and statistical analysis programming language and software including STATA, SAS, SAS Enterprise Guide, SQL, R and Python to extract high volume and complex data from financialbanking Data Marts and perform related analysis.br Developing predictive models by implementing advanced data analysis and research time series analysis, regression analysis, categorical analysis, advanced econometric techniques related to panel data analysis, data imputation while demonstrating an understanding of the underlying mathematical principles behind these statistical methods and the ability to evaluate and interpret the results in a reasonable manner.br Utilizing advanced statistical programming and visualization software, including STATA, R and Python to create complex reportsgraphs for illustration of the analysis performed.br Coding in unix environment, including automation of tasks using unix shell scripts.br Utilizing Git version control system, including but not limited to branching and working with remote repositories.br Utilization of Latex, Powerpoint, Excel, Word, to prepare manuscripts and presentations.br Knowledge of corporate finance, ability to read financial reports and understand the implication of financial ratios on credit risk of a company.br Implementing complex computational methods and models using R.br Knowledge of tools such as debugging, unit testing to efficiently build and implement models.br Previous banking or financial services experience required.br br Certification Requirementsbr SAS Advanced Programmer certification required.
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