AI Technical Advisor - Chief Risk Office

Details

Bloomberg’s Chief Risk Office is building practical advisory capabilities to help teams identify, understand, and manage AI risks throughout the AI lifecycle. The AI Risk Technical Advisor will support Bloomberg’s enterprise AI risk management program by reviewing AI use cases, supporting risk assessments, and advising on control expectations for AI systems, models, and data in coordination with technical and business teams.

Responsibilities

AI Risk Assessment and Advisory

• Support AI risk assessments for AI and generative AI use cases across products, platforms, internal tools, and third-party solutions.
• Evaluate risks related to bias, explainability, hallucination, model drift, robustness, privacy, security, data quality, intellectual property, transparency, and human oversight.
• Help determine appropriate risk tiering, documentation, control requirements, approvals, and monitoring expectations for AI use cases.
• Provide practical guidance to teams on responsible AI requirements, governance processes, and risk mitigation options.
• Escalate complex or higher-risk issues to senior AI risk leadership and governance forums.

Framework Implementation

• Help implement and refine Bloomberg’s AI risk management framework, including inventory, classification, risk tiering, assessment workflows, control expectations, and reporting processes.
• Develop and maintain templates, checklists, guidance documents, FAQs, and training materials to support consistent AI risk reviews.
• Assist with testing and refining governance processes to make them scalable, efficient, and aligned with how teams build and deploy AI.
• Support monitoring of key risk indicators, issue trends, remediation plans, and control effectiveness.

Cross-Functional Collaboration

• Partner with Technology, Product, Legal, Compliance, CISO, Privacy, Data, Procurement, and business stakeholders to support responsible AI adoption.
• Coordinate with teams to gather information, resolve open questions, document decisions, and track follow-ups.
• Participate in AI risk working groups, governance forums, and cross-functional discussions.
• Support third-party AI reviews, including sourcing, onboarding, integration, and ongoing oversight.

Enablement and Continuous Improvement

• Support AI risk training, awareness, and culture-building across the firm.
• Monitor developments in AI technology, AI regulation, and responsible AI practices, and help incorporate those developments into program materials.
• Identify opportunities to improve advisory workflows, documentation quality, stakeholder experience, and program reporting.

Requirements

• 6+ years of experience in technology risk, data risk, security risk, AI/ML, model risk, privacy, compliance, governance, or product risk.
• 2+ years of experience focused on AI governance, model governance, responsible AI, AI/ML risk, technology risk, data governance, or related areas.
• Working understanding of AI/ML and generative AI risks, including bias, explainability, model drift, robustness, hallucination, privacy, security, and data quality.
• Familiarity with generative AI tools and platforms.
• Experience supporting risk assessments, control reviews, policy implementation, issue tracking, or governance processes.
• Strong analytical and problem-solving skills, with the ability to assess risk in practical business and technical contexts.
• Strong communication skills, including the ability to write clearly and work effectively with technical and non-technical stakeholders.
• Ability to manage multiple reviews, priorities, and stakeholders in a fast-moving environment.

Preferred Qualifications

• Experience working with AI/ML development teams, data science teams, engineering teams, or product teams.
• Familiarity with NIST AI RMF, ISO/IEC 23894, EU AI Act, OECD AI Principles, GDPR, CPRA, or similar frameworks.
• Experience with model inventories, AI inventories, model documentation, risk management platforms, GRC tools, MLOps, LLMOps, or AI monitoring tools.
• Experience supporting third-party technology risk, vendor reviews, or AI-enabled vendor assessments.
• Certifications in risk, privacy, security, compliance, or AI governance.
• Curiosity about AI and a practical mindset for helping teams innovate responsibly.

Benefits

Benefits and total rewards may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, 401(k) match, life insurance, and wellness programs.

The position is based in New York.