AVP-Analytics & Quantitative Modeling
Listed on 2026-07-25
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IT/Tech
Data Scientist, AI Engineer (Applied/Software)
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. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it.
We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
- Strong understanding of quantitative modelling principles and best practices, including model design, calibration, performance assessment and implementation
- 5+ years of experience in quantitative modelling, statistical analysis, model development, model validation or related analytical roles within financial services
- Experience applying statistical, econometric or machine learning techniques to solve complex analytical problems
- Proficiency in programming languages or analytical softwares, such as MATLAB, Python, R, VBA or C#
- Familiarity with structured finance, credit risk modelling or rating methodologies is preferred
- Excellent written and verbal communication skills, with the ability to explain complex quantitative concepts clearly to diverse audiences
- Strong analytical, organizational and problem-solving skills with careful attention to detail and the ability to manage multiple priorities
- Self-motivated and collaborative team player with a continuous learning mindset and a willingness to explore new analytical approaches and technologies
- Demonstrated proficiency in artificial intelligence concepts, proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use
- PhD or Master's degree in Finance, Financial Engineering, Mathematical Finance, Economics, Mathematics, Statistics, Physics, Data Science, Engineering, Computer Science or a related quantitative field
The AVP-Analytics & Modeling contributes to the development, calibration, and enhancement of quantitative models and analytical tools that support Moody's Ratings methodologies across diverse asset classes.
- Lead the development, calibration, maintenance and enhancement of quantitative credit rating models, scorecards and related analytical tools
- Apply statistical, econometric and mathematical techniques to support model design, calibration, validation and performance assessment
- Partner with methodology, analytical and quantitative teams to understand business needs and translate them into robust analytical solutions
- Contribute to methodology development projects across Structured Finance and Fundamental asset classes by providing quantitative analysis and modelling expertise
- Prepare clear and comprehensive documentation that supports transparency, reproducibility and compliance with model governance, validation and verification requirements
- Conduct research on new modelling approaches, data sources, Artificial Intelligence applications and emerging analytical techniques that can improve model quality and effectiveness
- Author and co-author analytical publications, white papers and research materials that communicate modelling approaches and analytical insights to internal and external audiences
- Provide guidance and technical support to junior colleagues and contribute to knowledge sharing across the organization
Our MIS Credit Strategy and Standards (CSS) team is responsible for advancing quantitative modelling, data analysis and innovation — including Artificial Intelligence — to strengthen credit analytics and support the transparent communication of the analytical foundations that underpin Moody's Ratings. The team plays a critical role in developing and maintaining robust, consistent and fit-for-purpose methodologies across all rating sectors. By joining our team, you will be part of high-impact work that…
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