Citi Group Model/Anlys/Valid Sr Officer I-Hybrid 

United States, Delaware 

751278866

Key Responsibilities:

Data Governance:

• Establish and maintain RMS data governance routines in compliance with Citi Data Governance Policy (CDGP) and Citi Data Governance Standard
• Manage Intake, Initial Analysis and inventory of Data Concern Remediation Management (DCRMs)
• Coordinate RMS compliance with the Model Risk Management requirements for Model Data Template and authorized data sources.
• Coordinate and Maintain RMS practices in support of Citi Data Elements to calculate and complete the Chevrons within Data Operating Model (DOM)
• Attend internal and external Data Governance Forums to maintain alignment with changes to Citi Data requirements.
• Coordination of escalation and communication to upstream teams for Data Quality and Data Concerns identified within RMS.
• Work to coordinate cross-functionally to haveearlyawareness of system changes and assess their impacts to RMS data governance.
• Assist with Intake and Planning for Data Governance related Issues
• Ensure executive leadership has clear visibility into the status, risks, and progress of data governance initiatives through structured reporting and communication frameworks.
• Assist in coordinating regulatory responses, audit requirements, and risk assessments related to data governance.

:

• Oversee financial planning and budgeting processes for RMS team, ensuring resource allocation aligns with strategic priorities.
• Headcount planning and cost center coordination.
• Ongoing coordination of budget line items throughout the year.
• Assist Business Account Owners (BAOs) with end to end Third Party Risk Management engagement (sourcing, contracts, annual assessments)
• Partner with the In Business Credit and Franchise Risk Business Execution Team on all deliverables.

Qualifications:

• Bachelor’s degree in Business Administration, Finance, Risk Management, Economics or a related field (MBA preferred)*
• 10+ years of relevant experience
• Sound knowledge of statistical modeling data concepts and industry best practices; experience with econometric and statistical modeling or application risk scoring data, credit risk modeling frameworks and their regulatory requirements (OCC, CFPB, Fed).
• Excellent quantitative and analytic skills; ability to derive patterns, trends and insights, and perform risk/reward trade-off analysis.
• Experience with analytical or data manipulation tools (e.g. SAS, SQL, R, C Programming in UNIX) Proficient with MS Office suite.
• Proven ability to manage complex projects, drive strategic initiatives, and influence senior stakeholders.
• Experience working in a fast-paced, highly regulated environment with strong attention to detail and execution focus.
• Ability to drive innovation via thought leadership while maintaining end-to-end view.
• Effective cross-functional project, resource, and stakeholder management; effectively engage with internal audit and external regulators.

Anticipated Posting Close Date: