Description

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 Competencies

• Strong expertise in financial-statement and accounting concepts, including the ability to translate accounting signals into model features, risk indicators, and analytical insights
• Strong theoretical grounding in econometrics, statistics, and quantitative modeling, with demonstrated ability to determine when traditional, machine-learning, or hybrid methods are most appropriate, based on business context, data availability, and interpretability needs
• Excellent written and verbal communication skills in English, with demonstrated 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
• Fluency with AI productivity tools
• Exposure to cloud platforms such as AWS, GCP, or Azure (preferred)
• Experience with production machine learning systems (preferred)
• Demonstrated commitment to transparent, well-structured model documentation and adherence to governance standards (preferred)
• Ability to manage the entire model-development lifecycle-from conceptualization through data exploration, model design, estimation, validation, deployment, user training, and monitoring (preferred)

Education

• Ph.D. in Economics, Finance, Accounting, or a related quantitative field, or a Master's degree with relevant professional experience in the financial industry
• CPA certification (optional)

Responsibilities

Lead the development and implementation of advanced analytical models to drive business insights and support strategic decision-making.

• Design, develop, and maintain quantitative models to analyze financial and economic data
• Translate complex datasets into actionable insights and recommendations for internal stakeholders
• Collaborate with cross-functional teams to identify opportunities for data-driven improvements
• Evaluate and implement machine learning techniques and statistical methodologies where appropriate
• Communicate analytical findings clearly to both technical and non-technical audiences
• Ensure model robustness, accuracy, and compliance with internal standards and best practices
• Support the deployment and monitoring of production-level analytical models
• Contribute to innovation initiatives by leveraging emerging technologies and AI tools

About the Team

The Analytics & Modeling team is responsible for delivering advanced quantitative solutions that support critical business decisions and enhance analytical capabilities across the organization. The team collaborates closely with stakeholders across functions to translate complex data into meaningful insights and drive innovation through the adoption of modern data science and AI technologies. By joining this team, you will contribute to impactful projects that shape analytical strategy and support continuous improvement in data-driven decision-making.

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.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement. Click here to view our Notice to New York City Applicants.
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.