Model Governance Specialist

Job summary

Ensure compliance with model risk regulations and internal standards, maintain model and recommendations inventories, and coordinate model attestations and effective challenge exercises. Report model risk status and mitigation efforts to senior management, support validators and stakeholders, and maintain model risk policies, standards, and procedures.

Job details

Model Risk Governance Specialist (Data governance) Hybrid- 3 days onsite (Montreal office) 3 months contract The position at a glance RISK Independent Review & Control (RISK IRC) is a special unit within the RISK organization and reports directly to the Group Chief Risk Officer. The independent review arm of the department provides second line of defense for the use of various types of models and, accordingly, is in charge of model risk management. RISK IRC is composed of several model validation groups and a model governance team. The model governance team maintains the model inventory and helps ensure the application of the model risk management standards under the umbrella of the Federal Reserve Board letter SR26-2. In detail The Model Risk Governance Specialist is responsible for the following activities: Ensure compliance with all relevant regulatory requirements and internal standards related to model risk management under the guidance of the Head of RISK IRC Americas. Prepare and present regular reports on model risk status, issues, and mitigation efforts to senior management. Coordinate and engage the model validators to ensure that model risk management practices are integrated into the model development and validation processes. Provide training and guidance to stakeholders on model risk management principles and best practices. Maintain an updated model inventory in accordance with model risk management (MRM) decisions. Manage the recommendations inventory and engage with the validators and implementation managers to ensure their adequate and timely resolution. Coordinate the annual model attestation with Business Lines and the effective challenge exercise to ensure the completeness and accuracy of the model inventory. Maintain and update when necessary, model risk policies, standards, and procedures to ensure consistent and effective model risk management. The strengths and skills that will help you succeed List of required competencies Bachelor’s or Master’s degree in Finance, Economics, Mathematics, Statistics, or a related field. 3+ years of experience in model risk management, preferably within the financial services industry. Ability to work in a fast-paced environment and manage multiple deadlines at once. Strong sense of ownership and accountability. Excellent analytical and organizational skills. Ability to engage various stakeholders and deliver clear reports. Strong verbal and written communication skills. Good synthesis skills and critical thinking capabilities. Highly efficient with Word, PowerPoint, Outlook and Excel. Knowledge of English is required. Preferred qualifications In addition to the minimum requirements, it is desirable for the candidate to be able to demonstrate: Programming skills (Python). Knowledge of AI models governance or validation. Knowledge of regulatory guidance on model risk management and banking regulation. Knowledge of databases and systems for model inventory management. Experience in interacting with model validators or internal auditors. Experience in writing policies and procedures.

What you’ll do

Ensure compliance with model risk regulations and internal standards, maintain model and recommendations inventories, and coordinate model attestations and effective challenge exercises. Report model risk status and mitigation efforts to senior management, support validators and stakeholders, and maintain model risk policies, standards, and procedures.

Requirements

Requires a bachelor’s or master’s degree in finance, economics, mathematics, statistics, or a related field, plus at least three years of model risk management experience, preferably in financial services. Candidates should have strong analytical, organizational, communication, and stakeholder engagement skills; Python, AI governance, banking regulation, inventory systems, and policy-writing experience are desirable.

Listed skills

• written communication · Preferred
• Regulatory Compliance · Preferred
• Microsoft Excel · Preferred
• Reporting · Preferred
• Critical Thinking · Preferred
• Microsoft Word · Preferred
• Microsoft Outlook · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Model Risk Management
• Model Governance
• Regulatory Compliance
• Model Inventory Management
• Stakeholder Engagement
• Reporting
• Analytical Skills
• Organizational Skills
• Written Communication
• Verbal Communication
• Critical Thinking
• Policy and Procedure Writing
• Microsoft Word
• Microsoft PowerPoint
• Microsoft Outlook
• Microsoft Excel

Job areas

• Finance & Accounting
• Data & Analytics
• Management & Leadership

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