Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our graduate program to gain hands-on experience in modeling and product development.
- Company: Moody's is a leading provider of financial intelligence and analytics.
- Benefits: Enjoy a month-long training, rotations across teams, and opportunities for career advancement.
- Why this job: Work with top experts, enhance your skills, and contribute to impactful projects in insurance solutions.
- Qualifications: Master's degree in relevant fields by September 2025; programming knowledge in R, Python, or SQL preferred.
- Other info: This is a permanent, full-time role based in London, starting September 2025.
The predicted salary is between 28800 - 43200 £ per year.
As a graduate, you will establish a diverse and relevant career foundation-gaining insights into our business, exploring opportunities for career advancement, and refining your skills for future growth. Commencing in September 2025, you will join an international group of Moody’s Insurance Solutions graduates. The journey begins with a month-long training session led by our network of top developers, scientists, product managers, customer success experts, and clients. Subsequently, you will engage in our rotation program, obtaining hands-on experience within various teams and disciplines. These rotations will deepen your understanding of our products, their development processes, the companies that utilize them, and the value and insights they provide. Your work will span multiple products and markets, allowing you to enhance technical expertise, problem-solving abilities, and communication skills.
About the Team:
Our model and product development teams build mathematical models and data products that quantify the effects of natural and man-made disasters, using a combination of observations, reanalysis data, numerical, statistical and engineering models. We function as a multidisciplinary team of catastrophe modelers including statisticians, mathematicians, physical scientists, data scientist, and engineers, who build products and models that are deeply embedded in re/insurance workflows central to a thriving industry.
About the Role:
Analysts in the team work closely with other hazard, vulnerability, exposure, and financial modelers to quantify the loss potential of extreme climate events, cyber attacks, and casualty/liability risk to ensure the accuracy, efficiency, and appropriateness of the final modelling product.
This role will perform research and development work across our key product suite – working with multi-disciplinary product development teams in London, Zurich, and internationally. Our graduates build experience through rotations across these development teams focused on product and modelling solutions for property insurance risk, including on strategic product development on our cyber, casualty, and climate models and data products.
The rotation program further provides the opportunity to gain hands-on experience in the wider Insurance Solutions model offering, including stochastic modelling solutions which forecast financial and economic variables (e.g. interest rates, inflation, exchange rates, equity indices, bond returns, property prices) for a wide variety of applications across life/general insurance, asset management, and wealth/pension industries.
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.
-
Strong interpersonal, communication, and presentation ability.
-
Ability to communicate analysis results and insights effectively.
-
A working knowledge of computer programming languages used in model development (examples include R, Python, Julia, SQL. An adaptability and willingness to learn new languages as required.
-
Strong mathematical and statistical foundation.
-
Excellent time management and planning skills with a commitment to delivery.
-
Driven and committed, demonstrating self-motivation as well as strong team working skills.
-
Critical thinking, problem-solving skills, and attention to detail.
Education:
- A Master’s degree, to be completed by September 2025, in a relevant discipline (e.g., Applied Mathematics, Statistics, Engineering, Data Science, Computer Science, Climate Science or similar).
Moody’s
-
London
-
Permanent
-
Full-time
-
Just now
-
Minster Building, 21 Mincing Lane, 2nd Floor, London, EC3R 7AG, GB
Line Of Business: RMS(RMS)
Job Category:
- Students & Early Careers
Moody's Insurance Solutions Graduate Program 2025 Modeling & Product employer: Moody's
Contact Detail:
Moody's Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Moody's Insurance Solutions Graduate Program 2025 Modeling & Product
✨Tip Number 1
Familiarize yourself with the specific programming languages mentioned in the job description, such as R, Python, and SQL. Consider taking online courses or working on personal projects to enhance your skills in these areas, as practical experience will set you apart.
✨Tip Number 2
Engage with professionals in the insurance and modeling fields through networking events or platforms like LinkedIn. Building connections can provide valuable insights into the industry and may even lead to referrals for the graduate program.
✨Tip Number 3
Stay updated on current trends and challenges in climate science and risk modeling. Being knowledgeable about recent developments will not only help you in interviews but also demonstrate your genuine interest in the field.
✨Tip Number 4
Prepare for the rotation aspect of the program by developing a flexible mindset and a willingness to learn from different teams. Highlight any past experiences where you've successfully adapted to new environments or collaborated across disciplines.
We think you need these skills to ace Moody's Insurance Solutions Graduate Program 2025 Modeling & Product
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description and understand the key responsibilities and requirements of the Moody's Insurance Solutions Graduate Program. This will help you tailor your application to highlight relevant skills and experiences.
Highlight Relevant Skills: Make sure to emphasize your strong mathematical and statistical foundation, as well as any experience with programming languages like R, Python, or SQL. Provide specific examples of how you've used these skills in past projects or coursework.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the insurance industry and your eagerness to learn and grow within Moody's. Mention your adaptability and willingness to learn new programming languages, as well as your commitment to teamwork and problem-solving.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial for this role.
How to prepare for a job interview at Moody's
✨Showcase Your Technical Skills
Make sure to highlight your knowledge of programming languages like R, Python, or SQL during the interview. Be prepared to discuss any relevant projects or coursework that demonstrate your technical expertise and problem-solving abilities.
✨Demonstrate Your Communication Skills
Since strong interpersonal and communication skills are crucial for this role, practice explaining complex concepts in a clear and concise manner. You might be asked to present your analysis results, so think about how you would convey insights effectively.
✨Emphasize Your Adaptability
The role requires a willingness to learn new programming languages and adapt to different teams. Share examples from your past experiences where you successfully adapted to new challenges or learned new skills quickly.
✨Prepare for Behavioral Questions
Expect questions that assess your critical thinking, time management, and teamwork skills. Use the STAR method (Situation, Task, Action, Result) to structure your responses and provide concrete examples of how you've demonstrated these qualities in previous experiences.
