Risk Model Governance Analyst, Citi

Citi

Location:
India, Haryana ▼
Bengaluru, Karnataka

Category:
Finance

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

This role provides a unique opportunity to assist in governance over critical risk data in partnership with business and technology teams. The position involves coordination of key governance and control activities across the Risk Modeling Solutions team to ensure compliance with policy requirements and proper monitoring of risk models.

Job Responsibility:

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
Support executive leadership visibility into the status, risks, and progress of data governance initiatives 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, identify root causes leveraging programming software experience (SAS, SQL, R, Python, etc.)
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.

Additional Information:

Job Posted:
September 25, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Risk Model Governance Analyst