Assist with governance over critical risk data in partnership with business and technology teams
Support RMS data governance routines in compliance with Citi Data Governance Policy (CDGP) and Citi Data Governance Standard
Support Intake, Initial Analysis and inventory of Data Concern Remediation Management (DCRMs)
Support RMS compliance with the Model Risk Management requirements for Model Data Template and authorized data sources
Assist in the coordination of RMS practices in support of Citi Data Elements to calculate and complete the Chevrons within Data Operating Model (DOM)
Attend internal Data Governance discussions to maintain alignment with changes to Citi Data requirements
Assist with the coordination, escalation and communication to upstream teams for Data Quality and Data Concerns identified within RMS
Support cross-functional coordination to have early awareness of system changes and assess their impacts to RMS data governance processes
Assist planning for Data Governance related issues and support executive leadership visibility through structured reporting and communication frameworks
Assist in consistency and compilation of regulatory responses, audit requirements, and risk assessments related to data governance
Requirements
Bachelor’s/University degree or equivalent experience
Minimum 2+ years of Industry experience required while prior relevant model governance experience is preferable
Analytical skills, data manipulation, the ability to derive patterns, trends and insights, and perform risk/reward trade-off analysis
Proficient in Microsoft Office (Word, Excel, and PowerPoint)
Working knowledge of statistical modeling data concepts and industry best practices; econometric or application risk scoring data, credit risk modeling frameworks and regulatory requirements (OCC, CFPB, Fed)
Experience working in a fast-paced, highly regulated environment with strong attention to detail and execution focus
Good communication skill to communicate technical information verbally and in writing to both technical and non-technical audiences