The Assistant Vice President (AVP), Non-Financial Risk - Data & Model Risk Specialist, will play a critical role within the Client Organization's Non-Financial Risk Management team. The role will provide subject matter expertise across data and model risk methodologies, controls, and assurance, combined with a strong understanding of control effectiveness and remediation practices. The role requires proactive identification, assessment, and oversight of control issues, alongside driving timely completion of attestations.
Key Responsibilities
- Conduct comprehensive non-financial risk assessments for new and existing data initiatives, data flows, and analytical models, focusing on data governance, data quality, data privacy, model development, model validation, regulatory compliance, and reputational risk.
- Support the implementation and continuous enhancement of Citi’s Data and Model Risk Management (DMRM) framework, policies, and procedures within the Client Organization.
- Establish and execute ongoing monitoring activities for critical data assets and models, including data quality metrics, model performance reviews, validation effectiveness evaluations, and incident management.
- Identify and elevate emerging data and model risks. Collaborate with business owners, technology teams, and model developers to develop and implement effective risk mitigation plans and corrective actions.
- Partner closely with business units, Technology, Quantitative Risk, Compliance, and other risk functions to ensure a consistent and integrated approach to data and model risk management.
- Contribute to developing and delivering training and awareness programs on data and model risk management best practices for business stakeholders.
- Provide oversight and direction for model lifecycle governance, including model onboarding, changes, validations, limitations, inactive models, and annual lifecycle reviews.
- Influence and partner with senior stakeholders across functions and regions to embed controls, strengthen governance, and drive consistent execution.
- Lead analysis of control environments and processes, identifying strategic opportunities to enhance control effectiveness, operational efficiency, and overall governance maturity.
Qualifications
- Minimum of 5-8 years of experience in operational risk management, compliance, audit, or other control-related functions in the financial services industry.
- Ability to identify, measure, and manage key risks and controls.
- Strong knowledge in the development and execution of controls.
- Proven experience in control-related functions in the financial industry.
- Proven experience in implementing sustainable solutions and improving processes.
- Understanding of compliance laws, rules, regulations, and best practices.
- Understanding of Citi’s Policies, Standards, and Procedures.
- Strong analytical skills to evaluate complex risk and control activities and processes.
- Strong verbal and written communication skills, with a demonstrated ability to engage at the senior management level.
- Strong problem-solving and decision-making skills.
- Ability to manage multiple tasks and priorities.
- Proficiency in Microsoft Office suite, particularly Excel, PowerPoint, and Word.
- Proficiency in managing massive datasets using advanced Excel functions, Tableau and other data analytical platforms.
- Self‑motivated. Intellectual curiosity to stay abreast of modern technological advances and AI tools to enhance analytical capabilities.
- Solid data analytical skills. Ability to integrate and analyze complex data from diverse reporting sources, identify key connections, and produce comprehensive analytical outputs.
- Demonstrated capability to handle multiple, concurrent analytical projects while maintaining a high degree of accuracy.
- Ability to adjust to shifting and competing priorities while maintaining productivity and attention to detail.
Education
Bachelor's/University degree
This job description provides a high-level review of the types of work performed. Other job‑related duties may be assigned as required.
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