Risk Model Governance Analyst II

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Job Overview

Are you ready to join a team that is transforming Risk Data within Citi?
If so, then this role will provide you the opportunity to be a part of making a difference for Citi through assisting with governance over critical risk data in partnership with business and technology teams.

The Model/Analysis/Valid Analyst II is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. A prior foundation in Risk systems, data and reporting will help you be successful in this role.

This Model/Analysis/Valid Analyst II position will work within the Risk Model Management team to assist with the coordination of key governance and control activities across the Risk Modeling Solutions (RMS) team. RMS pursues two distinct but related activities: 1) delivering risk models to drive the credit management of customers across USPB and 2) delivering the risk models to support stress testing and loan loss reserving for those portfolios.  In providing end-to-end support of these two activities, RMS maintains extensive production execution capabilities as well as governance & control capabilities necessary to assure compliance of the models managed by RMS.

This position will assist with coordination of data governance activities across the Risk Modeling Solutions Leadership Team containing both model development teams as well as a model implementation & execution team to ensure all risk models are compliant with regulatory (OCC, FRB, CFPB) and Citi policy requirements, and properly monitored to ensure all customers decisions continue to satisfy risk appetite framework requirements.

• Key Responsibilities:
  • 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.

• Qualifications:
  • 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.