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Ai Risk Management Framework Jobs (NOW HIRING)

Bloomberg LP

AI Technical Advisor - Chief Risk office

New York, NY · On-site

$126K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Framework Implementation * Help implement and refine Bloomberg's AI risk management framework, including inventory, classification, risk tiering, assessment workflows, control expectations, and ...

kgs

AI Governance Analyst

Washington, DC

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Support the application of the NIST AI Risk Management Framework (NIST AI RMF 1.0) to SBA's AI initiatives, assisting in the GOVERN, MAP, MEASURE, and MANAGE functions to identify, assess, and ...

Alpaca

Cyber & AI Risk Analyst

New York, NY

As a Cyber & AI Risk Analyst, you will play a critical role in strengthening Alpaca's security ... You will contribute to the design and execution of our risk management framework across traditional ...

Koniag, Inc.

AI Governance Analyst

Washington, DC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Support the application of the NIST AI Risk Management Framework (NIST AI RMF 1.0) to SBA's AI initiatives, assisting in the GOVERN, MAP, MEASURE, and MANAGE functions to identify, assess, and ...

Cetera

Senior Security Engineer

Dallas, TX

$113K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Implement and maintain controls aligned to recognized AI risk management frameworks (spanning governance, mapping, measurement, and management of AI risk), including control documentation, risk ...

kgs

AI Governance Analyst

Washington, DC

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Support the application of the NIST AI Risk Management Framework (NIST AI RMF 1.0) to SBA's AI initiatives, assisting in the GOVERN, MAP, MEASURE, and MANAGE functions to identify, assess, and ...

Koniag, Inc.

AI Governance Analyst

Washington, DC · On-site

$110K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Support the application of the NIST AI Risk Management Framework (NIST AI RMF 1.0) to SBA's AI initiatives, assisting in the GOVERN, MAP, MEASURE, and MANAGE functions to identify, assess, and ...

Cetera Financial Group, Inc.

Senior Security Engineer

Dallas, TX · On-site

$108K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Implement and maintain controls aligned to recognized AI risk management frameworks (spanning governance, mapping, measurement, and management of AI risk), including control documentation, risk ...

MX Technologies, Inc.

Enterprise Risk Manager

Lehi, UT · On-site

Familiarity with AI governance frameworks such as the NIST AI Risk Management Framework (AI RMF) or ISO/IEC 42001. * Experience assessing third-party/vendor risk, including AI vendors and cloud ...

Cetera

Senior Security Engineer

Dallas, TX · On-site

$113K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Implement and maintain controls aligned to recognized AI risk management frameworks (spanning governance, mapping, measurement, and management of AI risk), including control documentation, risk ...

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Ai Risk Management Framework information

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How much do ai risk management framework jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for ai risk management framework in the United States is $30.34, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $38.70 per hour, depending on experience, location, and employer.

What is an AI Risk Management Framework?

An AI Risk Management Framework is a structured approach for identifying, assessing, and mitigating risks associated with the design, development, deployment, and use of artificial intelligence systems. It provides guidelines and best practices to ensure AI systems are trustworthy, ethical, and aligned with legal and societal expectations. Organizations use these frameworks to address potential challenges such as bias, security vulnerabilities, privacy concerns, and unintended consequences. By implementing an AI risk management framework, companies can better manage risks and improve transparency and accountability in their AI initiatives.

What are some common challenges encountered when implementing an AI Risk Management Framework in an organization?

Implementing an AI Risk Management Framework often involves navigating challenges such as aligning diverse stakeholder expectations, integrating risk assessments into existing workflows, and ensuring compliance with rapidly evolving regulations. Team members may need to bridge knowledge gaps between technical AI development and risk management practices, which requires effective communication and training. Additionally, organizations must continuously update their frameworks to address new AI risks, making adaptability and ongoing learning essential for success in this role.

What are the key skills and qualifications needed to thrive as an AI Risk Management Framework specialist, and why are they important?

To thrive as an AI Risk Management Framework Specialist, you need expertise in risk assessment, AI/ML systems, and regulatory compliance, typically supported by a degree in computer science, data science, or a related field. Familiarity with frameworks like NIST AI RMF, risk management tools, and governance platforms is often required, as well as relevant certifications such as CRISC or CISSP. Strong analytical thinking, attention to detail, and clear communication skills help professionals navigate complex technical and ethical challenges. These skills ensure the safe, ethical, and compliant deployment of AI systems within organizations.

What is the difference between Ai Risk Management Framework vs Data Scientist?

AspectAi Risk Management FrameworkData Scientist
Primary FocusIdentifying and mitigating AI-related risks, ensuring ethical and safe AI deploymentAnalyzing data to extract insights, build models, and support decision-making
Required CredentialsKnowledge of AI ethics, risk assessment, and relevant certificationsDegree in data science, statistics, or related fields; programming skills
Work EnvironmentCorporate, tech companies, industries deploying AI systemsResearch labs, tech firms, finance, healthcare

The Ai Risk Management Framework focuses on managing risks associated with AI systems, ensuring safety and compliance. In contrast, Data Scientists primarily analyze data to develop models and generate insights. While both roles require technical skills, their core objectives differ: risk mitigation versus data analysis.

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Ai Risk Management Framework jobs near you
Infographic showing various Ai Risk Management Framework job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $63,100 per year, or $30.3 per hour.

AI Technical Advisor - Chief Risk office

Bloomberg LP

New York, NY • On-site

$126K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 244 rated software companies

Job description

AI Technical Advisor - Chief Risk office
Location
New York
Business Area
Legal, Compliance, and Risk
Ref #
10052217
Description & Requirements
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.
Bloomberg's Chief Risk Office plays a central role in 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 teams identify, understand, and manage AI risks throughout the AI lifecycle.
What's the 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, and advise on control expectations around AI systems, models, and data - in coordination with technical and business teams, in order to help ensure AI systems continue to be developed and used responsibly.
This role is ideal for someone with a strong foundation as an AI technologist, and/or in technology risk, data risk, information security risk, AI/ML, model governance, privacy, or+ compliance who wants to work at the intersection of AI innovation and enterprise risk management.
We'll trust 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'll need 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.
  • 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'd love 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.

Salary Range = 130,000 - 180,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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