Product Support Specialist - Financial Engineering

Moody's Analytics is a global leader in ratings and integrated risk assessment, and they are seeking a Product Support Specialist in Financial Engineering. In this role, you will support clients in the implementation and application of Moody's Solutions, helping ensure that financial models and technology are used effectively to drive value.

Responsibilities:

• Understand and explain complex financial models on conceptual, intuitive, and practical levels
• 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
• Provide constructive feedback to the sales and training groups regarding client needs and opportunities
• Identify, capture, and channel client feedback on product features and functionality to our Product Managers
• Originate content for our client Knowledge Base
• Manage and escalate requests appropriately while maintaining ownership of client interaction and delivery solution
• Track all client interactions using the CRM system

Requirements:

• 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
• 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
• Bachelor's degree with an emphasis in Computer Science, Finance, Engineering, Mathematics, or Statistics required
• Master's degree in Quantitative Finance, Business Administration, Computer Science, Financial Engineering, Computer Information Systems or Accounting