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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