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AI Risk & Controls Lead

External
ntrs logoNtrs ยท Chicago, IL
Full-timeOn-siteToday
ClassificationComplianceDocumentationLeadershipRisk Management
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Responsibilities

  • ๐Ÿ”น AI Governance & Control Framework
  • Define and implement AI control frameworks aligned to enterprise risk standards
  • Embed 1LOD controls across AI lifecycle (design โ†’ build โ†’ deploy โ†’ monitor)
  • Partner with Risk, Compliance, and Audit to ensure alignment with enterprise policies
  • ๐Ÿ”น 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
  • ๐Ÿ”น 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
  • ๐Ÿ”น 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
  • ๐Ÿ”น AI Risk & Audit Partnership
  • Act as primary 1LOD interface with 2LOD (Risk) and 3LOD (Audit)
  • Support audits, reviews, and issue remediation
  • Translate regulatory expectations into practical control execution
  • ๐Ÿ”น 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
  • Key Skills & Experience Required
  • Deep experience in: AI governance / AI audit / model risk management
  • Control design and operationalisation (1LOD)
  • AI model lifecycle & documentation practices
  • Experience with: Model inventories, usage tracking, and control frameworks
  • Audit readiness and regulatory expectations
  • ๐Ÿ”น 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)
  • Success Measures
  • % 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
  • Salary Range:
  • $137,400 - 233,600 USD
  • Work Authorization
  • Working with Us
  • Philanthropy is deeply rooted in Northern Trust's history and is an essential element of our culture. Employees around the world give their time and talent to work for the greater good of their communities.
  • Reasonable Accommodation
  • Northern Trust is committed to working with and providing adjustments to individuals with health conditions and disabilities. If you need a reasonable accommodation for any part of the employment process, p

Benefits

Health insuranceDental insuranceVision insurance401(k)Flexible scheduleEquity / stock optionsPerformance bonusParental leave

Additional Information

About Northern Trust 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. Role Purpose The AI Risk & Controls Lead is responsible for establishing and operationalising first-line-of-defence (1LOD) 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.


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