Data Analyst
Qualifications Required 2 years of experience in one or more of the following areas Data quality analysis statistical analysis and/or modeling financial or cost analysis internal controls and/or external/internal financial audit. Experience across the entire model development lifecycle including interacting with model risk management teams and executing model governance best practices Deep technical understanding including proficiency in an analytical programming language such as SAS Python or R to provide clear technical direction mentoring and growing the skills of your team Hands-on development experience of AI and machine learning models packages or COTS tools with corresponding model risk management and governance of AI and machine learning (e.g. bias) Strong executive presentation skills able to strategically and effectively communicate with both external and internal stakeholders as well as collaboratively across business units technology and policy teams Bachelor's Degree in Economics Finance Statistics Mathematics Computer Science Management Information Systems Engineering Business Analytics disciplines or related area. Must be legally authorized to work in the United States without the need for employer sponsorship now or at
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