AI Risk & Controls Lead

As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions. Since 1889, we have aligned our efforts with our three guiding Principles That Endure:
Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide. With more than 135 years of financial experience and over 24,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.

The AI Risk & Controls Lead is responsible for establishing and ope rationalising first-line-of-defence (1

LOD) controls for AI across the enterprise. This role ensures that AI solutions are designed, deployed, and managed in line with regulatory, risk, and audit expectations, while enabling responsible innovation at scale.

• AI Governance & Control Framework:
  Define and implement AI control frameworks aligned to enterprise risk standards. Embed 1
  
  LOD controls across AI lifecycle (design → build → deploy → monitor). Partner with Risk, Compliance, and Audit to ensure alignment with enterprise policies.
• AI Model Management & Oversight:
  Oversee AI model inventory, classification, and lifecycle management. Define and enforce model governance standards (documentation, approvals, controls). Ensure traceability of models, datasets, and decision logic.
• Documentation & Regulatory Readiness:
  Own end-to-end AI documentation standards (models, use cases, controls). Ensure readiness for internal audit, regulatory inspection, and model validation. Maintain audit‑ready evidence repositories.
• Controls Monitoring & Reporting:
  Define and track AI control metrics, usage tracking, and compliance indicators. Monitor adherence to policies (ethical AI, data usage, model risk). Provide risk dashboards and reporting to leadership.
• AI Risk & Audit Partnership:
  Act as primary 1
  
  LOD interface with 2
  
  LOD (Risk) and 3
  
  LOD (Audit). Support audits, reviews, and issue remediation. Translate regulatory expectations into practical control execution.
• Enablement & Advisory:
  Advise AI delivery teams (CoPilot, Digital Co-Worker, ACE, etc.) on control requirements. Embed controls into AI operating model and delivery pipelines. Drive awareness of responsible AI practices across teams.

• Deep experience in: AI governance / AI audit / model risk management;
  Control design and operationalisation (1
  
  LOD); AI model lifecycle & documentation practices.
• Experience with:
  Model inventories, usage tracking, and control frameworks;
  Audit readiness and regulatory expectations.
• Desirable:
  Financial services / regulated environment experience;
  Understanding of: AI/ML concepts (not necessarily data scientist level);
  Regulatory landscape (EU AI Act, SR 11‑7, model risk frameworks).

• Percentage of AI use cases onboarded into governance framework.
• Audit findings / control gaps reduction.
• Time to evidence production for audit.
• Coverage of AI model inventory & tracking.
• Adoption of AI control standards across platforms.

$137, USD. Salary range is a good faith estimate of base pay.

• Retirement benefits (401k and pension).
• Health and welfare benefits (medical, dental, vision, spending accounts and disability).
• Paid time off.
• Parental and caregiver leave.
• Life & accident insurance.
• Other voluntary and well‑being benefits.
• Discretionary bonus program that may include an equity component.

Applicants must be authorized to…