Asst Dir - Data Scientist

Skip to main content Go to homepage Menu Saved Jobs (0) EN Filter Languages English English Canadian Français Canadian French View all jobs Search Jobs Find jobs for Location Radius miles 5 miles 15 miles 25 miles 35 miles 50 miles Search Asst Dir - Data Scientist New York, United States; King of Prussia, United States Apply now Save job Posted 06/04/2026 Job reference 12381 Experience level Experienced Hire Job category Engineering & Technology Line of business Credit COE 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. Skills and CompetenciesHands-on experience building, training, and evaluating deep-learning models - not just familiarity with the concepts. You should be comfortable working with modern architectures (e.g., transformers, sequence, and representation-learning models) and reasoning about where they outperform classical approaches and where they don't.Ability to explain complex modeling work clearly to senior leaders, cross-functional partners, and non-technical stakeholders, in both writing and speech.Strong programming skills in Python or R.Depth in one or more deep-learning domains relevant to our work: representation learning for structured financial data, NLP for filings/news/unstructured text, or forecasting for macro and financial time series. (Preferred)Exposure to cloud platforms such as AWS, GCP, or Azure. (Preferred)Experience developing and deploying models on large, complex, real-world datasets: financial statements, macro time series, text, and other unstructured sources. (Preferred)Ability to own the full model-development lifecycle: conceptualization, data exploration, design, estimation, validation, deployment, user training, and monitoring. (Preferred)Research output: publications, conference work, or open-source contributions. (Preferred)EducationPh.D. in Computer Science, Statistics, Applied Mathematics, Economics, Finance, Operations Research, or a related quantitative field; or master’s degree in any of these fields, with 2-3 years of experience in the financial industry.ResponsibilitiesPartner 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...