At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Skills and Competencies

• Strong analytical and quantitative skills, with the ability to interpret data and draw meaningful conclusions
• Excellent written and verbal communication skills, with the ability to explain complex ideas clearly to varied audiences
• A genuine interest in casualty insurance, risk analytics, or insurance technology and a desire to build deep domain expertise
• Strong organisational skills with the ability to manage multiple tasks, prioritise effectively, and deliver on commitments
• A collaborative mindset and confidence working across diverse, cross-functional teams
• Self-motivated and proactive, with a high degree of initiative and a drive to make an impact
• Demonstrates curiosity about artificial intelligence and an understanding of responsible and ethical AI use in a business context
• Has hands-on experience using AI-enabled tools to support analysis, research, automation, or productivity, with an awareness of data privacy and governance considerations

Education

• Bachelor’s degree or higher in Actuarial Science, Insurance, Risk Management, or a closely related discipline; broader STEM or business degrees may also be considered

Responsibilities

• Support the development and delivery of next-generation casualty insurance solutions by working closely with product, technology, and analytics teams while building a strong foundation in product management
• Support the definition and delivery of product roadmaps for casualty insurance solutions, including underwriting tools, portfolio analytics, and risk quantification capabilities
• Help develop user stories, acceptance criteria, and product requirements that reflect the needs of insurers, underwriters, and actuaries
• Assist in translating complex market and client requirements into clear, actionable product specifications for engineering and data science teams
• Learn how risk models are designed, validated, and embedded into workflows, and support documentation and communication of model outputs
• Engage with clients and prospects under guidance to understand real-world insurance challenges and gather structured feedback
• Support preparation of materials for client meetings, industry events, and thought leadership activities including demos, datasheets, white papers, and blog posts
• Stay current on trends, regulatory developments, and emerging risks in the casualty insurance market
• Develop an understanding of insurance analytics platforms, including APIs, data pipelines, and cloud-based infrastructure
• Contribute to go-to-market planning, internal enablement, and cross-functional collaboration across product, engineering, data science, sales, and marketing

About the Graduate Programme
As a graduate you’ll build a diverse and relevant career – learning our business, discovering your career growth opportunities, and continuing to develop your skills for years to come. Starting in September 2026, you'll join an international cohort of Moody’s Insurance Solutions graduates. You'll begin with a month-long training programme, learning from our network of leading developers, scientists, product managers, customer success practitioners, and clients. Following this, you'll participate in our rotation programme, gaining direct experience across various teams and disciplines. Through your rotations you will enhance your knowledge of our products, how they are built, the companies who use them, and how they get value and insight from them. Your work will span our products and markets, developing technical skills and knowledge, problem-solving skills, and communication skills.

After a 5 week induction programme you will rotate quarterly through 5 teams, the three core teams above and two complimentary teams. You will then become a permanent member of one of the core teams in January 2028. Many of our team members, including interviewers for this role, began as graduates and have brought their skills to various roles and teams over time – we also have members of our leadership team who joined us as graduates in this programme!

About the Team
The Casualty Product Management team sits within Moody’s growing insurance solutions business and works at the intersection of risk science, data, and technology. The team partners closely with actuaries, data scientists, engineers, and client-facing teams to deliver advanced analytics and decision-support tools that help insurers better understand and manage liability risk. Graduate hires join a collaborative environment with structured mentorship, real responsibility, and exposure across multiple teams before settling into their core product role.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.