AI Technical Advisor - Chief Risk office

The energy of a newsroom, the pace of a trading floor, the buzz of a recent tech breakthrough; we work hard, and we work fast, while keeping up the quality and accuracy we are known for. It is what keeps us inventing andreinventing,all the time. Our culture is wide open, just like our spaces. We bring out the best in each other through collaboration. Through our countless volunteer projects, we also help network with the communities around us. You can do amazing work here. Work you could not do anywhere else. It is up to you to make it happen.

Bloomberg’s Chief Risk Office playsa central rolein ensuring that innovation is pursued responsibly across our global operations. As AI becomes increasingly embedded across products, platforms, and internal processes, the Chief Risk Office is building practical advisory capabilities to help teamsidentify, understand, and manage AI risks throughout the AI lifecycle.

What’sthe role?

We are seeking an AI Risk Technical Advisor to support Bloomberg’s enterprise AI risk management program. This person will review AI use cases, support risk assessments,andadvise on control expectationsaround AI systems, models,and data– incoordinationwith technical and business teams,in order tohelp ensure AI systemscontinue to bedeveloped and used responsibly.

This role is ideal for someone with a strong foundationas an AI technologist,and/orin technology risk, data risk,informationsecurity risk, AI/ML, model governance, privacy, or+compliance who wants to work at the intersection of AI innovation and enterprise risk management.

We’lltrust you to:

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.

You’llneed to have:

• 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, such as ChatGPT, Claude, AWS Bedrock, Azure OpenAI, Google Gemini, or comparable enterprise AI tools.
• 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.

We’dlove to see:

• 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.