$132,600 – $192,300
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
Moody's is hiring a quantitative modeler to innovate credit analytics and predictive modeling approaches for their global Credit Center of Excellence. The role suits someone with strong statistical and machine learning foundations who can translate complex models into clear insights for business partners and senior leaders.
Our summary, not Moody's Corporation’s wording. The full posting is on their site.
Skills this role names
- Amazon Athena
- Amazon Web Services (AWS)
- Artificial Intelligence (AI)
- Econometrics
- Git
- GitHub
- Machine Learning
- Microsoft Azure
- Python
- R
- SPARK
- SQL
- Statistics
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What they ask for
Required
- Master's degree in Financial Engineering, Data Science, Statistics, Economics, Econometrics, Mathematics, Physics, Finance, Accounting, or related quantitative field, plus 2 years of industry experience in quantitative modeling
- Strong theoretical knowledge of econometrics, statistics, machine learning, and quantitative modeling with ability to select appropriate approaches
- Experience cleaning, merging, and diagnosing issues in large real-world datasets
- Excellent written and verbal communication skills in English to explain complex modeling concepts to diverse audiences
- Strong programming in Python or R, plus working SQL knowledge
- Fluency with AI productivity tools including coding agents
- Adaptability and curiosity to move between projects and domains
Nice to have
- Experience in credit risk modeling (default prediction, early warning, scoring models) or other financial modeling
- Knowledge of accounting and financial statement analysis
- Experience with large-scale data tools (Spark, Athena, Parquet) and database concepts
- Experience with Git/GitHub in collaborative development
- Exposure to AWS, GCP, or Azure cloud platforms
- Familiarity with model documentation and model risk governance standards (SR 11-7, SR 26-2)
- Ph.D. in a relevant quantitative field
- CPA certification