$116,500 – $212,200
Listed on Moody's Corporation’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role involves developing and deploying advanced machine learning and deep learning models to solve complex financial and credit risk problems at Moody's. It suits experienced data scientists who can explain technical work to non-technical audiences and want to work on real-world financial datasets at scale.
Our summary, not Moody's Corporation’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Deep Learning
- Forecasting
- Machine Learning
- Microsoft Azure
- Python
- R
- Statistical Modeling
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What they ask for
Required
- Hands-on experience building, training, and evaluating deep learning models
- Ability to explain complex modeling work to senior leaders and non-technical stakeholders
- Strong programming skills in Python or R
- Ph.D. in Computer Science, Statistics, Applied Mathematics, Economics, Finance, Operations Research, or related quantitative field, OR Master's degree in these fields with 2-3 years of financial industry experience
Nice to have
- Depth in representation learning for structured financial data, NLP, or financial forecasting
- Experience with cloud platforms (AWS, GCP, Azure)
- Experience developing and deploying models on large, complex real-world datasets
- Ability to own full model-development lifecycle from conceptualization to monitoring
- Research output such as publications, conference work, or open-source contributions