Data Analyst

Qualifications:

2 years of experience with 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 SQL , 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.
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.

Responsibilities:

Conduct data analysis and provide insights to support business decisions.
Create reports and data visualizations to communicate findings to stakeholders.
Collaborate with cross-functional teams to develop and implement data-driven strategies.
Develop and maintain data models and databases.
Ensure data accuracy and completeness.
Use statistical analysis techniques to identify trends and patterns in data.
Communicate findings and recommendations to both technical and non-technical audiences.

Key Skills: