Fraud Risk Oversight Director overseeing risk management programs at Truist. Leading teams to ensure efficient risk practices and compliance within the financial services sector.
About the role
- AI and Model Risk Lead Consultant at Allstate responsible for model and AI risk management across enterprise. Leading initiatives, ensuring compliance, and supporting various risk assessments and governance frameworks.
Responsibilities
- Lead and execute the enterprise-wide model and AI risk management strategy, coordinating cross-functional risk initiatives and health checks.
- Drive the implementation and enhancement of model and AI governance frameworks, controls, and standards across 1st and 2nd line teams.
- Embed model and AI governance controls across 1st and 2nd line, including the proactive identification and tracking of models and AI use cases as they are deployed or modified across the organization.
- Provide independent model validation, performance monitoring, effective challenge, and remediation oversight in alignment with regulatory expectations (e.g., OSFI E‑23 ).
- Conduct targeted model and AI risk assessments and synthesize cross-theme insights and enterprise-wide solutions.
- Coordinate the implementation of Generative AI and broader AI deployment requirements across the enterprise.
- Maintain governance documentation, validation reports, model inventories, and related controls required for regulatory and audit readiness.
- Support regulatory reviews, internal audits, and examinations related to model and AI governance, ensuring compliance and strong evidence of controls.
- Partner with Business Unit CROs, leaders, model stewards and developers to integrate 1st line controls and capabilities into enterprise model risk management.
- Develop and deliver dashboards, metrics, and management reporting (e.g., Power BI) to communicate model and AI risk insights to senior leadership.
- Provide training, risk education, and capability-building within the enterprise risk & return team and across business units.
Requirements
- Strong understanding of model risk management frameworks , including model lifecycle governance (model onboarding, tiering, monitoring, validation, and decommissioning).
- Hands-on experience developing or working with analytical models and applying that expertise within a model governance or risk management environment .
- Familiarity with AI and emerging model types , with the ability to assess associated risks and governance considerations.
- Experience designing, implementing, or enhancing risk frameworks, policies, and controls , ideally within a regulated environment.
- Strong stakeholder engagement and influencing skills , with the ability to communicate complex technical concepts clearly and build collaborative relationships with business leaders and senior stakeholders.
- Strategic and analytical mindset with the ability to translate regulatory expectations into practical governance structures and processes .
- Experience working with risk management or governance tools (e.g., Archer, Fusion) and the ability to leverage technology to support risk oversight and reporting.
Benefits
- Flexible Work Arrangements.
- Employee discounts (15% on auto and property insurance, plus many other products and services).
- Good Office program (receive up to $400 back after purchasing office equipment).
- Student Loan Payment Matching Program for Government Student loans.
- Comprehensive Retirement Savings Program with employer matched contributions.
- Annual Wellness allowance to support employees with improving health and wellbeing.
- Personal days.
- Tuition Reimbursement.
- Working within the community and giving back.
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