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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.
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
- Programming experience in Python or Julia, with hands-on development of tools for data analysis, visualisation, and statistical modelling.
- Practical experience using SQL to query, manipulate, and manage large datasets.
- Familiarity with data visualisation libraries such as Matplotlib, Seaborn, or similar.
- Solid understanding of basic statistical concepts and data wrangling techniques.
- Exposure to machine learning, dashboarding tools, or Microsoft Excel is preferred.
- Strong desire to learn and grow in a technical, data-driven environment.
- Friendly, team-oriented attitude and willingness to collaborate.
- Clear communication skills, especially when explaining technical ideas to non-technical audiences.
- Adaptability and openness to feedback—being coachable is key.
Education
Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related STEM discipline.
Responsibilities
Support the development of catastrophe models for cyber risk through data analysis, tool building, and collaboration.
- Analyse large datasets to uncover patterns and insights that support cyber risk modelling.
- Translate data into meaningful conclusions that inform model development and business decisions.
- Develop scripts and tools in Python or Julia for data processing, visualisation, and analysis.
- Automate repetitive tasks and contribute to broader modelling pipelines.
- Collaborate with team members to understand project goals and deliver data-driven insights.
- Present findings through clear visualisations, reports, or presentations.
- Participate in team discussions, code reviews, and documentation efforts.
- Stay up to date with new tools, techniques, and trends in data science and cybersecurity.
About The Team
Our Model Development Department team is responsible for building state-of-the-art catastrophe models for cyber risk.
By joining our team, you will be part of exciting work in scientific research, real-world applications, and innovation in the insurance industry.
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.
