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 any time in the future • Ability to obtain and maintain the required clearance for this role Nice to Have (Not Required) • Master's degree • Development experience of explainable AI (XAI) algorithms and frameworks • Development of AI audit and ethics frameworks • CFA, FRM, INFORMS CAP, or similar industry certificate