Assistant Vice President (AVP), Non-Financial Risk – Data & Model Risk Specialist Job at Citi (Belfast)

Job Description

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.

Job Responsibility

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 escalate 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

Requirements

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 for 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
Bachelor's/University degree

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Assistant Vice President (AVP), Non-Financial Risk – Data & Model Risk Specialist

Job Description

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