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

• 7+ years' demonstrable experience delivering statistical and analytical modelling work within dynamic project environments where modelling objectives, assumptions, and requirements evolved during analysis
• Experience within financial services, particularly working with large datasets, statistical modelling, or risk analytics, is preferred
• 7+ years' experience in analytical problem framing and requirements elicitation, including stakeholder interviews and progressive clarification of modelling scope in contexts with incomplete initial information
• Proven ability to translate ambiguous business problems into structured analytical and modelling approaches
• Proficiency in leveraging GenAI tools to:
  • Synthesise complex stakeholder and analytical inputs
  • Generate structured analytical requirements and modeling documentation
  • Bridge technical/statistical concepts and business understanding
• Proven ability to analyse, optimise, or establish analytical workflows to improve efficiency, scalability, and cross-functional alignment in environments with evolving requirements or complex data dependencies
• Familiarity with credit risk modelling concepts, methodologies, and their applications in financial services is preferred

Education

• Bachelor's degree in a relevant field such as Finance, Economics, Mathematics, Data Science, Computer Science, Engineering, or a related discipline is required. Advanced degree is preferred.
• Advanced degree (Master's or PhD) preferred
• Relevant certifications (e.g., CFA, FRM, PMP) are a plus.

Responsibilities

Lead and contribute hands-on analytical and statistical modelling work for risk and analytics initiatives operating in uncertain or ambiguous environments.

• Deliver modelling work involving large datasets, statistical models, and AI-enabled or agent-based analytical systems
• Translate research outputs, model results, and technical capabilities into clear analytical insights that support business and risk decisions
• Embed GenAI usage into day-to-day modelling delivery, moving beyond ad-hoc experimentation to establish repeatable, standardised practices that improve consistency, quality, and speed across modelling projects
• Define and apply robust evaluation techniques for GenAI-enabled analytical and modelling use cases, including assessing output reliability, bias, explainability, consistency, and fitness-for-purpose in financial services contexts
• Collaborate closely with research teams, data scientists, engineers, and business stakeholders to iteratively define project requirements and scope boundaries
• Operate effectively in high-ambiguity project environments while maintaining focus on analytical robustness, risk considerations, and business outcomes
• Coordinate with senior business leaders to align analytics and modelling initiatives with organisational priorities and strategic objectives
• Actively apply GenAI tools to improve efficiency, documentation quality, and consistency across modelling projects and departmental workflows

About the Team

The Credit Centre of Excellence (COE) team at Moody's Analytics is responsible for maintaining and enhancing our industry-leading credit analytics and predictive modelling capabilities. We work closely with various departments including product management, commercial strategy, and go-to-market leaders to ensure the delivery of high-quality credit risk assessments and solutions. This collaborative approach allows the COE to integrate seamlessly into Moody's Analytics structure to support and grow our customers' business operations and enhance their ability to navigate risk.

By Joining our team, you will be part of exciting work in defining key new capabilities and analytics, working with established and emerging technologies, to deliver insights in the era of exponential risk.

For US-based roles only: the anticipated hiring base salary range for this position is $159,300.00 - $230,850.00, 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.