Senior AI Risk Technical Advisory Lead

Description

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 and reinventing 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.

Bloombergs Chief Risk Office plays a central role in ensuring that innovation is pursued responsibly across our global operations. As AI becomes increasingly embedded in Bloombergs products platforms internal workflows and client-facing capabilities the Chief Risk Office is building practical advisory capabilities that help technical and product teams identify assess mitigate and monitor AI risks throughout the lifecycle.

Whats the role

We are seeking a Senior AI Risk Technical Advisory Lead to serve as a senior subject matter expert for AI risk and responsible AI across Bloomberg. This person will work closely with engineering product data science legal compliance CISO privacy and risk stakeholders to provide practical technically credible guidance on AI use cases AI systems and data-related controls risk assessments of AI systems risk/control evaluation of third-party AI solutions and AI regulatory expectations (e.g. EU AI Act) and industry standards.

This role is designed for a senior practitioner who can bridge technical AI implementation and enterprise risk oversight. The person may have a matrixed or dual-reporting relationship to a technology or product-facing risk advisory leader to ensure strong connectivity with AI builders and front-line advisory teams while maintaining alignment with the Chief Risk Offices enterprise AI risk team.

Well trust you to:

Technical AI Risk Advisory

• Provide senior-level technical advisory support for AI and generative AI use cases across Bloomberg including product platform internal tooling automation and third-party AI solutions.
• Evaluate AI risks related to bias explainability hallucination robustness model drift data leakage privacy security intellectual property misuse transparency and human oversight.
• Advise teams on appropriate controls testing monitoring documentation and risk mitigation strategies based on use case data sensitivity model type deployment context and regulatory exposure.
• Review complex or higher-risk AI use cases and provide risk-based recommendations to governance forums and senior stakeholders.
• Help define practical technical standards for responsible AI development testing validation deployment monitoring and retirement.

Framework and Control Development

• Partner with the Head of AI Risk Management to mature Bloombergs AI risk management framework including classification risk tiering assessment methodology control expectations and monitoring standards.
• Translate external frameworks and regulatory expectations into practical internal control guidance for technical and product teams.
• Develop reusable advisory materials playbooks review criteria technical checklists and model documentation expectations.
• Support the development of risk indicators and monitoring approaches for AI systems including performance drift hallucination bias security user feedback and issue trends.

Cross-Functional Partnership

• Partner deeply with Technology Product Data Legal Compliance CISO Privacy Procurement and business teams to address emerging AI risks.
• Facilitate technical risk discussions and help resolve questions where product goals engineering constraints legal obligations and risk appetite intersect.
• Serve as a senior escalation point for complex AI risk questions and emerging responsible AI issues.
• Support AI risk governance forums executive updates regulatory inquiries and internal reviews.

Enablement and Thought Leadership

• Serve as a trusted internal subject matter expert on responsible AI technical AI risk and AI control design.
• Develop and deliver training guidance and awareness materials for technical and non-technical stakeholders.
• Monitor developments in AI technology AI regulation industry standards and emerging risk practices and translate them into actionable program enhancements.

Youll need to have:

• 10 years of experience in AI/ML data science machine learning engineering technology risk model risk security risk data risk or responsible AI.
• 4 years of experience directly focused on AI/ML risk AI governance model governance model validation responsible AI or technical advisory for AI systems.
• Strong technical understanding of AI/ML and generative AI systems including model development model evaluation data pipelines embeddings retrieval-augmented generation prompt engineering monitoring drift robustness explainability and safety testing.
• Demonstrated ability to assess technical AI risks and recommend practical controls in complex enterprise environments.
• Hands-on familiarity with generative AI platforms and tools open-source models vector databases or related AI infrastructure.
• Experience partnering with engineering product data science legal compliance privacy security and risk stakeholders.
• Strong understanding of privacy security data governance and regulatory issues relevant to AI systems.
• Excellent communication skills including the ability to explain technical AI risks to senior stakeholders and translate governance expectations for technical teams.

Wed love to see:

• Experience working directly with AI/ML development teams on production systems.
• Experience in financial services market data media enterprise technology cloud or other data-intensive environments.
• Familiarity with NIST AI RMF ISO/IEC 23894 EU AI Act OECD AI Principles model risk management or responsible AI frameworks.
• Experience with AI red teaming model evaluation bias testing explainability tooling monitoring tools MLOps LLMOps or AI governance platforms.
• Experience advising on third-party AI tools enterprise AI platforms or AI-enabled vendor solutions.
• Certifications or advanced training in AI/ML data science privacy information security risk or compliance.
• A pragmatic approach to enabling innovation while managing risk.