Specialist - IT Risk Management

WE WILL COUNT ON YOU TO:

• Support the assessment of AI-related risks, governance requirements, and control considerations.
• Help review AI use cases, technical documentation, and architecture materials to identify potential risks and control gaps.
• Assist with developing and maintaining AI risk metrics, dashboards, and reporting for leadership visibility.
• Support governance activities related to AI tools, models, and emerging technologies.
• Help improve and automate workflows for risk tracking, evidence collection, and reporting.
• Collaborate with engineering, security, infrastructure, and business teams to support practical risk-reducing actions.
• Contribute to vendor and third-party reviews related to AI tools and services.
• Assist with incident response, issue tracking, and remediation efforts related to AI and technology risks.
• Help develop technical guidance, standards, and playbooks to support consistent governance practices.
• Review system documentation, architecture diagrams, and technical evidence to support risk and governance decisions.
• Work with team members to improve processes and strengthen the organization’s approach to responsible AI.
• Support and learn from senior team members while building technical capability and expertise.

WHAT YOU NEED TO HAVE:

• Experience in IT, cybersecurity, risk, governance, or a related technical discipline.
• Strong interest in AI risk, governance, and emerging technologies.
• Understanding of security controls, technical documentation, and basic risk assessment concepts.
• Ability to analyze information, identify issues, and support clear recommendations.
• Good communication skills and the ability to work effectively with technical and non-technical stakeholders.
• Experience working in a large, complex, or regulated environment.
• Familiarity with workflow tools, reporting, or automation is a plus.
• Strong attention to detail and a proactive, collaborative mindset.

WHAT MAKES YOU STAND OUT?

• Experience supporting AI governance, technology risk, or cybersecurity activities.
• Exposure to technical documentation review, control testing, or process improvement.
• Familiarity with cloud, infrastructure, or modern technology environments.
• Experience contributing to dashboards, reporting, or risk tracking.
• Interest in emerging technologies and the evolving risks associated with AI.
• A willingness to learn, take ownership, and help drive improvements.

WHY JOIN OUR TEAM?

• We help you be your best through professional development opportunities, interesting work and supportive leaders.
• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact on colleagues, clients and communities.
• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.

Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.