Moody's Corporation
Moody's Insurance Solutions Graduate Program - Model Development
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Moody's Insurance Solutions Graduate Program - Model Development
Model Development Program Graduate Analyst – Risk Engineering (Climate & Catastrophe_models)
We unite the brightest minds at Moody’s to turn today’s risks into tomorrow’s opportunities. Our mission is to create an inclusive environment where everyone can thrive—fostering innovation, collaboration, and curiosity. By leveraging AI and integrated risk assessment, we decode complex risk, enabling clients to navigate uncertainty with confidence.
This opportunity is open to all backgrounds. If you’re passionate about this role but don’t meet every requirement, we encourage you to apply—you could still be a great fit!
About the Role
As a Model Development Program Graduate Analyst, you’ll play a pivotal role in advancing climate and catastrophe risk modelling within Moody’s Insurance Solutions. Your work will contribute directly to our mission of helping clients—from insurers to corporations—assess and manage risks associated with extreme weather events, natural disasters, and long-term climate impacts.
Joining our graduate program, you’ll complete a year-long immersion (September 2026 – September 2027), comprising:
- A month-long training with mentorship from cross-functional teams
- A rotation program across multiple development teams, including hazard, vulnerability, exposure, and financial modelling, to build expertise in how our tools are built, validated, and used by clients.
You’ll collaborate with experts to quantify economic losses from events like tropical cyclones, floods, severe storms, and climatic shifts—ensuring our predictive models are accurate, efficient, and actionable. For more context, explore how our [global catastrophe models](insights moodys/applications) shape the insurance and reinsurance industries.
Key Responsibilities
- Conduct research and development to improve climate risk modelling techniques for built infrastructure, accounting for extreme event scenarios.
- Develop and test mathematical algorithms to simulate hazard exposure, vulnerability assessment, and financial impacts.
- Work alongside data scientists, engineers, and hazard experts to refine modelling products for coastal, inland, winter, and chronic risk scenarios.
- Collaborate with GitHub-based development environments to ensure scalability and reproducibility in applied methodologies.
- Tempt high-performance computing clusters and Linux/Unix environments for technical workloads.
- Ensure models meet client needs through iterative development, emphasising transparency and ethical integrity within risk decisions.
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What Is Moody’s Looking for?
We’re seeking candidates with the following to build specialized expertise in this evolving field:
Core Competencies & Skills
- Academic foundation: Strong antecedence in structural/geotechnical/mechanical engineering, building science mathematics, or computational modelling.
- Programming proficiency: Experience with R, Python, Julia, SQL, or Fortran (or ability to self-learn quickly).
- Engineering-informed curiosity: Passion for physical science applications (e.g., disaster simulation) and willingness to explore unconventional analytical approaches.
- Attention to detail: Ability to verify results across datasets, models, and edge cases.
- Cross-functional collaboration: Background in re/insurance risk assessment or exposure modelling (preferred).
- Technical adaptability: Comfort using Linux environments, version control tools (GitHub), and high-performance computing (clusters).
How You’ll Fit In
If chosen, you’ll gain: ✅ On-site training from industry-leading scientists, engineers, and actuaries ✅ Direct hands-on mentorship and project ownership ✅ Rotations in data tools, hazard definition, insurability sensitivity research, and exposure engineering ✅ Pedagogical impact: The chance to speak at internal/external events on emerging trends (e.g., extreme climate consequences)
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Education
Eligibility: Degree must be complete by September 2026.
- Master’s degree (or higher) in Structural/Mechanical/Geotechnical Engineering, Applied Math field related to Building Science, or Computer Science.
- Focus on disaster resilience, numerical computation, and scientific prediction (e.g., graduate cohort showing work in risk quantification, insurability assessment, or systems science) is seen favourably.
Salary & Beyond
- Competitive salary package with generous graduate remuneration commensurate with industry standards.
- Lifecycle access to enable continuous development and growth, fostering mentorship for future roles within or external to Moody’s Climate and Catastrophe Solutions.
- Global opportunities: Potential subscriptions to industry-leading catastrophe modelling courses, research access, and collaboration with industry bodies.
Equal Opportunity & Diversity
Moody’s is an equal opportunity employer. Our vision is to welcome, retain, and develop individuals from diverse backgrounds—we celebrate a culture where differences fuel innovation.
We encourage applicants from underrepresented groups, descendants of disasters affected populations, and those interested in inclusive weather risk-climate vulnerability research to apply.
Note: All remarks above are in alignment with the organization’s public commitments to inclusive practices and transparent procedural equity.
Would you like to contribute to transforming the future of risk insight through built-environment science? Apply today—just say “yes”.
(For more details or accommodation requests, please contact [insert relevant contact/human resources email otherwise specified].)*
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