Product Support Specialist - Fin

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, 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.

• Knowledge of financial mathematics (e.g. stochastic process, Monte Carlo techniques, derivative pricing, interest-rate modelling) required
• Ability to understand technically complex problems and find solutions via analysis of application log files, SQL procedures and error messages and operating system/database server diagnostics
• Explain complex financial models on conceptual, technical, and practical levels, helping clients understand not only how models work, but also how to interpret results and apply them to business and risk management decisions.
• Strong knowledge of Windows based architectures and Windows diagnostic software
• Superb analytical skills and persistence in analytical and technical problem solving
• Excellent verbal and written communication skills with the ability to convey complex financial concepts to a broad range of client audiences
• Ability to manage multiple client engagements simultaneously while maintaining a high standard of accuracy and professionalism
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use

• Master's degree in Quantitative Finance, Computational Finance, Financial Engineering, Financial Mathematics, Finance, Quantitative Risk Management, Risk Management, Economics, Statistics, Mathematics, MBA with a concentration in Finance or Business Analytics, or Accounting required
• Candidates holding a CFA certification may be considered in lieu of a master's degree.

• Develop a deep understanding of Moody's Analytics risk solutions, credit risk methodologies, and financial modeling frameworks
• Understand and explain complex financial models on conceptual, quantitative, and practical levels, helping clients understand model assumptions, methodologies, key drivers, outputs, and limitations
• Provide thorough quantitative and conceptual solutions to our wide range of clients
• Provide in-depth education and assistance on product features, functionality and the product technical architecture
• Support clients on the use of our industry leading credit risk products in a courteous, professional, accurate and timely manner via web, email, telephone, and in person
• Communicate effectively and develop excellent working relationships with colleagues within Client Service and in partner teams such as Engineering, Research, etc
• Educate clients on model assumptions, methodology, limitations, appropriate use cases, and business implications to help ensure responsible and effective use of Moody's Analytics solutions.
• Provide constructive feedback to Sales, Product Management, Research, and Training teams regarding client needs, product enhancement opportunities, recurring questions, and market feedback.
• Identify, capture, and channel client feedback on product features and functionality to our Product Managers
• Create and maintain client-facing knowledge base content, training materials, best practices, FAQs, and…