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- Tasks: Support cyber risk model development through data analysis and tool building.
- Company: Moody's Corporation transforms risks into opportunities in an inclusive environment.
- Benefits: Enjoy a collaborative culture, learning opportunities, and the chance to work with cutting-edge technology.
- Why this job: Join a team innovating in the insurance industry while developing your technical skills.
- Qualifications: Master’s degree in Data Science or related STEM field; programming experience in Python or Julia required.
- Other info: Entry-level position with full-time employment; open to diverse applicants.
The predicted salary is between 28800 - 43200 £ per year.
Join to apply for the Assc Analytics & Model Analyst role at Moody\’s Corporation
Join to apply for the Assc Analytics & Model Analyst role at Moody\’s Corporation
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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.
Seniority level
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Seniority level
Entry level
Employment type
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Employment type
Full-time
Job function
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Job function
Business Development and Sales
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Assc Analytics & Model Analyst employer: Moody's Corporation
Contact Detail:
Moody's Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Assc Analytics & Model Analyst
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, SQL, and data visualisation libraries like Matplotlib or Seaborn. Having hands-on experience with these will not only boost your confidence but also demonstrate your readiness for the role.
✨Tip Number 2
Engage with the data science community online, particularly in forums or groups focused on cyber risk and analytics. This can help you stay updated on industry trends and may even lead to networking opportunities that could benefit your application.
✨Tip Number 3
Prepare to discuss your past projects or experiences where you've used data analysis to solve problems. Be ready to explain your thought process and how you collaborated with others, as teamwork is a key aspect of this role.
✨Tip Number 4
Showcase your adaptability and willingness to learn by highlighting any recent courses or certifications you've completed in data science or related fields. This demonstrates your commitment to growth in a technical environment, which is highly valued by Moody's.
We think you need these skills to ace Assc Analytics & Model Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant programming experience in Python or Julia, as well as any practical experience with SQL and data visualisation libraries. Emphasise your understanding of statistical concepts and any exposure to machine learning.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with Moody's values, such as curiosity and collaboration, and provide examples of how you've demonstrated these in past experiences.
Showcase Your Projects: If you have worked on relevant projects, whether academic or personal, include them in your application. Describe your role, the tools you used, and the outcomes. This will demonstrate your hands-on experience and ability to apply your skills in real-world scenarios.
Prepare for Technical Questions: Be ready to discuss your technical skills during the interview process. Brush up on your knowledge of data analysis, visualisation techniques, and statistical modelling. Practice explaining complex concepts in simple terms, as clear communication is key.
How to prepare for a job interview at Moody's Corporation
✨Showcase Your Technical Skills
Make sure to highlight your programming experience in Python or Julia during the interview. Be prepared to discuss specific projects where you've developed tools for data analysis and visualisation, as this will demonstrate your hands-on capabilities.
✨Demonstrate Data Analysis Experience
Discuss your practical experience with SQL and how you've used it to manage large datasets. Prepare examples of how you've uncovered patterns and insights from data that have informed business decisions, as this aligns closely with the role's responsibilities.
✨Communicate Clearly
Since you'll need to explain technical ideas to non-technical audiences, practice articulating complex concepts in simple terms. This will show your ability to collaborate effectively within a team and ensure everyone is on the same page.
✨Emphasise Your Willingness to Learn
Moody's values candidates who are eager to grow in a technical environment. Share examples of how you've adapted to feedback in the past and your enthusiasm for staying updated with new tools and techniques in data science and cybersecurity.
