Role overview
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, risk management, pricing, and investment decisions. By joining our team, you will be part of exciting work in a global team (spread across all US time zones, GMT, GMT+1) that works closely with various teams including product management, commercial strategy, and go-to-market leaders to ensure the delivery of high-quality credit risk assessments and solutions.
For US-based roles only: the anticipated hiring base salary range for this position is $116,500.00 - $169,000.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications
For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.
This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
What you'll work on
- 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
What we're looking for
- 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