Asst Dir-Data Scientist

Overview

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.

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.

• Strong theoretical grounding in econometrics, statistics, and quantitative modeling, with demonstrated ability to determine when deep learning, traditional approaches, or hybrid methods are most appropriate, based on business context, data availability and interpretability needs
• Ability to distill complex modeling concepts into clear, audience-appropriate messages for senior leaders, cross-functional partners, and non-technical stakeholders
• Strong programming skills in Python or R
• Excellent written and verbal communication skills in English
• Expertise in machine learning and deep learning, including hands-on experience with deep-learning architectures, such as transformers and other state-of-the-art frameworks is preferred
• Exposure to cloud platforms such as AWS, GCP, or Azure is desired
• Experience with production machine learning systems is preferred
• Experience developing and deploying deep learning models on large, complex datasets (financial statements, macro time series, text, unstructured data) is desired
• Demonstrated commitment to transparent, well-structured model documentation and adherence to governance standards
• Ability to manage the entire model-development lifecycle—from conceptualization through data exploration, model design, estimation, validation, deployment, user training, and monitoring

• Ph.D. in Economics, Finance, Computer Science, Statistics, Applied Mathematics, Operations Research, or a related quantitative field; or a Master’s degree in any of these fields, with 2-3 years of experience in the financial industry

• Design and deliver innovative ML/deep-learning solutions to enhance modeling and address complex financial, economic, and operational problems
• Partner across Moody’s business lines to enhance modeling and analytical frameworks, incorporating state‑of‑the‑art ML and deep‑learning techniques
• Design and deliver innovative analytical solutions, leveraging deep learning and quantitative methods to address complex financial, economic, and operational problems
• Identify opportunities for automation and model‑based decision enhancement, applying neural networks, representation learning, and statistical methods to improve accuracy, efficiency, and performance
• Collaborate with cross-disciplinary teams to build scalable, cloud‑based analytical platforms grounded in clean, well‑engineered data
• Apply deep expertise in statistical, econometric, machine learning, and deep‑learning methods to develop insights and decision frameworks for internal stakeholders and clients
• Provide technical leadership, advising business partners on modeling strategy, tradeoffs, and the appropriate role of deep learning in analytical solutions
• Communicate technical subject matter clearly and concisely, ensuring that insights, limitations, and implications are well understood by diverse audiences

Our Credit Center of Excellence (COE) team is responsible for developing, enhancing and maintaining our industry-leading credit analytics and predictive modelling capabilities. Our analytics and models are used by institutions worldwide to make credit,…