Analytics & Model Analyst

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. 

Responsibilities
Leverage data analytics and programming expertise to support the development of cyber catastrophe models. This role focuses on extracting insights from complex datasets, building analytical tools, and translating data into actionable intelligence to support model development and risk quantification.

Key Responsibilities

Data Analysis & Insight Generation

- Analyze large and complex datasets to uncover trends, patterns, and anomalies relevant to cyber risk modelling.
- Translate data findings into real-world conclusions that inform model assumptions and business decisions.
- Collaborate with cyber risk modelers and engineers to define data requirements and ensure data quality and integrity.

Programming & Tool Development

- Develop and maintain Python or Julia-based tools and scripts for data processing, visualization, and statistical analysis.
- Automate data workflows and contribute to the continuous improvement of the team’s analytical capabilities.
- Support the integration of analytical outputs into model development pipelines.

Collaboration & Communication

- Work closely with cyber risk modelers to understand research objectives and provide data-driven insights.
- Communicate findings clearly to both technical and non-technical stakeholders through reports, dashboards, and presentations.
- Participate in code reviews and maintain technical documentation.

Continuous Learning

- Stay current with advancements in data science, cybersecurity, and risk analytics.
- Proactively explore new tools, libraries, and methodologies to enhance analytical effectiveness.

Skills and Competencies

Technical Skills

Required:
- Proficiency in programming with Python or Julia, with experience in developing tools for data analysis, visualization, and statistical modeling.
- Strong SQL skills for querying and managing large datasets.
- Knowledge of data visualization techniques and tools (e.g., Matplotlib, Seaborn, or equivalent in Python/Julia).
- Strong data analytical skills, including handling outliers, managing missing data, and performing basic statistical modeling.

Desired:
- Familiarity with Machine Learning or Statistical Learning methods for predictive modeling.
- Experience in designing and building dashboards for visualizing analytical outputs.
- Experience with MS Excel for data exploration or light analysis.
- Experience with Tableau or Power BI for dashboard creation and reporting.

Soft Skills

- Strong desire to understand and interpret data deeply, beyond simply applying tools or methods.
- Ability to develop a comprehensive understanding of complex subjects through data and additional research.
- Excellent communication skills, including the ability to convey data findings and insights effectively to both technical and non-technical audiences.
- Team-oriented mindset with the ability to collaborate effectively in a dynamic environment.
- Adaptability to shifting priorities and the ability to provide realistic time estimates for project tasks.

Education
Required: Minimum Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related STEM field.

About the Team

Within the Model Development Department, the Cyber Risk Modelling team is at the forefront of integrating the latest scientific results with insurance solutions, specializing in developing state-of-the-art catastrophe models to assess and quantify cyber risks. Our dedicated team of researchers and engineers collaborates in a high-tech, dynamic environment to pioneer tools and methodologies that shape the future of the insurance industry. We leverage cutting-edge technologies and computational techniques to better understand and model cyber threats, ensuring our clients are well-prepared for the challenges of tomorrow.

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.