At a Glance
- Tasks: Drive operational excellence in insurance product delivery and improve processes using AI and automation.
- Company: Join Moody's, a global leader in risk assessment and innovative solutions.
- Benefits: Inclusive culture, career growth opportunities, and the chance to work with cutting-edge technology.
- Other info: Be part of a team that values diverse perspectives and champions innovation.
- Why this job: Make a real impact by optimising operations and enhancing client experiences in a dynamic environment.
- Qualifications: Experience in operations, strong analytical skills, and a passion for continuous improvement.
The predicted salary is between 50000 - 60000 £ per year.
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.
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- Proven experience in a senior operational, business operations, or enterprise systems role, with end‑to‑end accountability for operational delivery and outcomes.
- Strong understanding of product operations, including sales order fulfilment, client entitlement management, delivery assurance, and revenue recognition processes.
- Demonstrated ability to lead and improve BAU operations at scale, balancing day‑to‑day execution with operational risk management and continuous improvement.
- Experience driving automation, workflow optimisation, or AI‑enabled improvements within operational environments to reduce manual effort and improve data quality.
- Experience utilizing AI and agentic tooling to improve accuracy, reduce cycle time, and scale operations sustainably.
- Strong analytical capability, with experience using operational and financial data to identify risks, inefficiencies, trends, and improvement opportunities.
- Excellent stakeholder management and communication skills, with the confidence to engage Sales, Finance, Product, Technology, Risk, and senior leadership.
- Undergraduate or first‑level degree in Business, Finance, Operations, Information Systems, or a related discipline is preferred. Equivalent senior‑level operational experience with demonstrable delivery and improvement outcomes will also be considered.
- Drives Insurance Operations delivery and improvement, ensuring accurate fulfilment, strong controls, and scalable, automation‑enabled ways of working.
- Execute Insurance product fulfilment and delivery, ensuring clients receive deliverables, entitlements and access to Moody’s solutions accurately, on time, and in line with contractual and policy obligations.
- Oversee critical BAU processes spanning client entitlement management, delivery records, renewals, subscriptions, trials and ongoing access commitments.
- Ensure high‑quality operational data throughout the operations delivery lifecycle, reinforcing strong data governance, auditability and revenue recognition controls.
- Oversee the use of CRM and connected enterprise systems such as Salesforce and FinancialForce to monitor deliveries, track obligations, and maintain accurate records that support financial and regulatory requirements.
- Partner closely with Sales, Finance, Product Management, Client Service, Technology and Risk teams to resolve escalated operational issues and manage cross‑functional dependencies.
- Provide oversight and internal support for customer queries, access issues and change requests, ensuring timely resolution and a consistently high service experience.
- Use operational and financial reporting to identify risks, bottlenecks, trends and opportunities for improvement across all Insurance product lines.
- Drive continuous improvement by identifying recurring issues and leading initiatives to simplify, standardise, automate, or eliminate manual operational processes.
- Champion responsible use of automation and AI‑enabled tooling, including agentic or workflow‑based approaches to improve accuracy, reduce cycle time, and scale operations sustainably.
- Act as a role model for process adherence, operational discipline and service excellence, influencing peers and stakeholders to maintain high standards.
- Coach and help develop operational staff, supporting performance management, objective setting and capability growth within the team.
- Support internal audits, due diligence activities and governance forums, ensuring responses are accurate, timely and evidence‑based.
- Contribute to the evolution of the Insurance Operations operating model, balancing operational resilience, control effectiveness and innovation.
The Insurance Operations team supports the Insurance Line of Business by ensuring products are delivered accurately, clients receive access on time, and operational data is reliable across the sales and delivery lifecycle.
The Team Plays a Critical Role In:
- Enabling scalable, high‑quality fulfilment for a growing and increasingly complex Insurance product portfolio.
- Protecting the business through strong operational controls, data integrity, and risk management.
- Driving smarter ways of working through process optimisation, automation, and responsible adoption of AI‑enabled approaches.
By joining the team, you will operate at the heart of Insurance operations, combining hands‑on leadership with meaningful influence over how the function evolves within a leading global ERM software provider.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Product Operations Analyst employer: Moody's Corporation
At Moody's, we pride ourselves on fostering an inclusive and innovative work environment where every employee is empowered to contribute their unique perspectives. As a global leader in risk assessment, we offer exceptional growth opportunities through hands-on leadership roles and the chance to work with cutting-edge AI technologies. Our commitment to operational excellence and continuous improvement ensures that you will be part of a team that not only values your contributions but also supports your professional development in a dynamic and collaborative setting.
StudySmarter Expert Advice🤫
We think this is how you could land Product Operations Analyst
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Moody's on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by researching Moody's values and recent projects. Show us how your skills in product operations align with their mission to decode risk and unlock opportunities.
✨Tip Number 3
Practice your STAR technique for answering behavioural questions. We want to hear about specific situations where you've led improvements or tackled challenges in operational roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Moody's team.
We think you need these skills to ace Product Operations Analyst
Some tips for your application 🫡
Be Yourself:When you're writing your application, let your personality shine through! We want to see the real you, so don’t be afraid to share your unique experiences and perspectives. Remember, we value diversity and want to know how you can contribute to our inclusive environment.
Tailor Your Application:Make sure to customise your application for the Product Operations Analyst role. Highlight your relevant skills and experiences that align with the job description. This shows us that you’ve done your homework and are genuinely interested in the position!
Showcase Your Achievements:Don’t just list your responsibilities; tell us about your accomplishments! Use specific examples to demonstrate how you've driven improvements or tackled challenges in previous roles. This helps us understand the impact you could have at Moody's.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Moody's Corporation
✨Know Your Product Operations Inside Out
Make sure you have a solid understanding of product operations, especially in areas like sales order fulfilment and client entitlement management. Brush up on how these processes work at Moody's and be ready to discuss how your experience aligns with their operational delivery and outcomes.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical capabilities by discussing specific examples where you've used operational and financial data to identify risks or inefficiencies. Think about trends you've spotted and improvements you've implemented, as this will resonate well with the role's focus on continuous improvement.
✨Engage with Stakeholders
Highlight your stakeholder management skills by preparing examples of how you've successfully engaged with different teams, such as Sales, Finance, and Technology. Be ready to talk about how you resolved operational issues and managed cross-functional dependencies, as collaboration is key at Moody's.
✨Embrace Automation and AI
Since the role involves driving automation and AI-enabled improvements, come prepared with insights on how you've previously implemented these technologies. Discuss any tools you've used to enhance accuracy and reduce cycle times, showing that you're forward-thinking and aligned with Moody's innovative approach.
