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Product Consultant

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Moody's Investors Service
Full Time position
Listed on 2026-09-13
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations, Data Analyst, IT Business Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 90000 GBP Yearly GBP 60000.00 90000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

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, 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
  • 3+ years of experience delivering software implementations, customer trials or technology adoption programs, preferably within financial services, financial software, data or analytics
  • Strong client-facing delivery experience, including requirements gathering, solution configuration, stakeholder management, onboarding and training
  • Working knowledge of RESTful application programming interfaces, JSON, data integration principles and enterprise technology ecosystems. Familiarity with SOAP application programming interfaces preferred
  • Experience using customer relationship management or enterprise resource planning platforms, such as Salesforce, Microsoft Dynamics or SAP
  • Ability to analyse business workflows and identify opportunities to apply artificial intelligence, automation and data-driven solutions
  • Excellent verbal and written communication skills, with the ability to build strong relationships and explain technical concepts to both technical and non-technical stakeholders
  • Required:

    Experience supporting end-to-end customer implementations or trials, including discovery, onboarding, training, engagement monitoring, issue resolution and feedback collection
  • Preferred:
    Familiarity with financial data, company information, credit research, corporate ownership or risk management solutions
  • Preferred:
    Experience working with Model Context Protocol services, agentic workflows, generative artificial intelligence platforms or embedded data solutions
  • Preferred:
    Familiarity with basic coding and analytics principles, including HTML, Python, JavaScript or data visualisation tools
  • Demonstrated proficiency in artificial intelligence concepts, with hands on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use.
Education
  • Bachelor’s degree required, preferably in Finance, Banking, Economics, Business, Information Systems, Computer Science, Data Science, Engineering or a related discipline
  • Master’s degree, Master of Business Administration or equivalent relevant professional experience preferred
Responsibilities

Enable customers to successfully adopt Moody’s generative artificial intelligence and data solutions through implementation leadership, technical guidance and consultative support.

  • Lead implementation, onboarding and adoption activities for generative artificial intelligence, agentic workflow, data and Model Context Protocol solutions
  • Manage customer engagements from discovery and requirements gathering through technical onboarding, training, feedback collection and completion
  • Conduct workflow assessments to identify customer use cases, business…
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