Associate Product Operations Analyst

September 7, 2026

Remote

Junior

London, GB

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English is required

Description

Moody's is seeking an Associate Product Operations Analyst to support Insurance product fulfillment and operational data quality. The role involves monitoring sales orders, maintaining client access, and using AI tools for process improvement. The team focuses on scalable operations and continuous improvement within a global financial services environment.

Responsibilities

Monitor completed sales orders, delivery requests and operational work queues using customer relationship management and connected enterprise systems
Complete client entitlement, fulfilment and delivery activities accurately, ensuring clients receive software access, services, content, licence keys or other contractual deliverables on time
Maintain accurate operational records, including client entitlement data, delivery records, transaction notes, future delivery schedules and evidence required to support revenue recognition and auditability
Support global Sales, Client Service, Product Management and Finance teams by fulfilling, tracking and evidencing delivery of Insurance product access for trials, subscriptions, term contracts and ongoing commitments
Set up and maintain client access to electronically delivered services, ensuring access details, delivery confirmation and supporting records are handled accurately and in line with company policies
Provide high-quality support for internal and external client queries, including product access issues, user change requests and operational support cases
Work closely with cross-functional teams to investigate and resolve escalated operational issues, helping to ensure clients receive a consistently high standard of service
Run and review operational reports to identify data quality issues, delivery risks, process exceptions, trends and opportunities for improvement across Insurance product lines
Support continuous improvement by identifying recurring issues and proposing ways to simplify, standardise, automate or improve manual operational processes
Use workflow, reporting and AI-enabled tools responsibly where appropriate to improve accuracy, reduce manual effort and support scalable ways of working
Reinforce process adherence, data quality and operational discipline in day-to-day interactions with Sales, Client Service, Product Management, Finance, Technology and Risk teams
Support internal governance, audit, due diligence or risk management activities by helping to provide accurate, timely and evidence-based operational information

Requirements

Experience in a customer service, administration, business operations, information technology support, or operational support role, with a strong focus on accuracy, attention to detail and timely delivery
Dedication to providing excellent client service, with the ability to support internal and external stakeholders professionally and follow through on queries, access issues and operational requests
Ability to organise, prioritise and complete tasks during busy periods, ensuring contractual obligations, service expectations and internal process requirements are met
Strong communication skills, with fluency in English, both spoken and written, and the ability to work effectively with colleagues across Sales, Finance, Product Management, Client Service, Technology and Risk teams
Ability to use reporting, data analysis and workflow tools to identify data quality issues, operational trends, process exceptions and improvement opportunities
Familiarity with using automation or AI-enabled tools responsibly to improve task efficiency, workflow consistency and data quality is preferred
Ability to identify appropriate opportunities for AI-assisted process improvement while applying sound judgement, data protection principles and validation of outputs is preferred
Undergraduate or first-level degree in Business, Finance, Operations, Information Systems, or a related discipline is preferred. Equivalent operational experience with demonstrable delivery, client service, data quality or process improvement outcomes will also be considered

Data AnalysisAI Toolsfinancial services

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