More jobs:
SVP, Market Risk Management
Job in
Marlborough, Middlesex County, Massachusetts, 01752, USA
Listed on 2026-09-14
Listing for:
First Tech Federal Credit Union
Full Time
position Listed on 2026-09-14
Job specializations:
-
Finance & Banking
Risk Manager/Analyst -
Management
Risk Manager/Analyst
Job Description & How to Apply Below
Description
The Senior Vice President, Market Risk Management & Capital Planning is responsible for enterprise-wide leadership and independent oversight of model risk, AI governance, and capital planning activities. Reporting to the Chief Risk Officer (CRO), this role establishes and maintains frameworks that ensure models, stress testing, and capital adequacy practices are sound, transparent, and aligned with regulatory expectations and the organization's risk appetite.
You’ll Do
- Establish, maintain, and continuously enhance the enterprise Market Risk Management (MRM) framework, including policies, standards, procedures, and governance practices
- Provide executive oversight of the full model lifecycle, including model inventory, validation, performance monitoring, assumptions, limitations, and issue management
- Ensure model risk governance supports credit, market, liquidity, interest rate, operational, and capital risk assessments across the enterprise
- Deliver independent challenge to model development, usage, and outputs, including forecasting, stress testing, and decision-support models
- Establish and oversee the organization’s AI governance framework, including model usage standards, risk assessments, and controls related to explainability, bias, and ethical considerations [
- Ensure AI and advanced analytics are appropriately governed, transparent, and aligned with regulatory expectations and institutional values
- Monitor and respond to evolving regulatory guidance, industry practices, and emerging risks related to model risk and AI
- Capital Planning & Stress Testing Oversight
- Provide independent oversight and challenge of the capital planning framework, including stress testing, scenario analysis, and capital adequacy assessments
- Ensure stress testing methodologies are robust, well-documented, and appropriately validated
- Evaluate model outputs and scenarios for reasonableness, severity, and alignment with the organization’s risk profile
- Advise executive leadership on capital resilience, vulnerabilities, and trade-offs under adverse scenarios
- Governance, Reporting & Regulatory Engagement
- Deliver executive and Board-level reporting on model risk exposure, capital adequacy, stress testing results, and emerging risks
- Serve as a primary regulatory liaison for model risk and capital planning, ensuring strong relationships with regulators and exam readiness
- Ensure timely, transparent, and effective remediation of regulatory and audit findings
- Establish and monitor risk appetite, limits, and key risk indicators (KRIs) related to model risk and capital adequacy
- Executive Leadership & Strategy
- Set the vision, strategy, and priorities for Model Risk Management, AI governance, and Capital Planning functions lead and develop a high-performing organization, including VPs, Directors, and specialized quantitative risk professionals
- Build deep technical expertise and leadership capability through talent development, succession planning, and strong risk culture
- Partner with Finance, Credit Risk, Market Risk, Technology, and Data organizations to ensure alignment between risk oversight and business strategy
- Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Minimum 12 years’ experience within an enterprise Market Risk Management (MRM) framework, including policies, standards, procedures, and governance practices
- Minimum 10 years’ experience as a people leader, leading a diverse team including hiring, coaching and performance management
- Deep expertise in Market Risk Management frameworks and lifecycle governance
- Strong understanding of quantitative modeling, CECL/ACL, stress testing, and capital planning
- Experience with AI/ML governance and…
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