Note: The job is a remote job and is open to candidates in USA. Fannie Mae is a company dedicated to making affordable homes a reality and positively impacting the lives of Americans. The Risk Data Quality Analyst will play a crucial role in enhancing risk data aggregation and reporting capabilities while ensuring compliance with regulatory standards. Responsibilities include developing data quality metrics, identifying data quality issues, and leading data quality programs.
Responsibilities
- Confer with client management and unit leadership to define processes, policies and standards relating to data quality
- Develop and use data quality metrics that can be used to evaluate reports and other outputs of data-related applications. May render these metrics into dashboards or other tools that can be accessed by others
- Draft, edit, and complete data quality business rules for use by developers or those extracting data or preparing reports from enterprise databases
- Identify data quality issues in reports, applications, or downloads accomplished by unit; assess causes of problems, and lead or participate in efforts such as data cleansing, data certification, and the like to remediate problems
- Take lead on portions of data quality program such as development and use of data quality tools to advance the program within the unit and with client users/custodians of data
- May coach or mentor less experienced staff on advancing data quality program
Skills
- 4+ years of related experience
- Bachelor's Degree or equivalent
- Prior risk management program experience is required. Considered a subject matter expert in their assigned work or product(s), as demonstrated from prior risk management experience, or has the capacity and intellectual capability to become a SME
- Proficiency in Tableau or similar standard visualization tool
- Prior experience and ability to understand, execute and report various testing methodologies. This includes story/script development and execution, problem solving, identification of defects and control gaps
- Strong presentation skills – both verbal and written
- Experience implementing and establishing data ownership, stewardship, and monitoring, as well as determining business rules to be applied to the data
- Degree in Accounting, Business, Computer Science or Finance preferred
- Experience with BCBS 239 (Basel Committee on Banking Supervision's Standard 239). Understanding/application of guidance to data management is strongly preferred
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