At a Glance
- Tasks: Lead product management for an innovative Knowledge Graph platform and drive AI solutions.
- Company: Join Moody's, a global leader in risk assessment and AI transformation.
- Benefits: Inclusive culture, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on ethical AI and responsible innovation.
- Why this job: Make a real impact by leveraging data and AI to combat fraud and enhance safety.
- Qualifications: 5+ years in regulatory spaces and strong technical literacy required.
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, please apply! 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.
Skills and Competencies
- 5+ years of experience in the sanctions, anti-money laundering, fraud, investigations, export control and/or adjacent regulatory spaces, with deep working knowledge of the domain
- Strong technical literacy including the ability to read schemas, review queries, and discuss data modeling trade-offs with engineers
- Understanding of graph data modeling concepts including nodes, edges, properties, ontologies and taxonomies, RDF vs property graphs, and entity resolution
- Proven track record of translating ambiguous business problems into precise functional and non-functional engineering requirements
- Excellent stakeholder management skills with the ability to align senior business sponsors, subject matter experts, and engineering leads around a shared plan
- Strong project management skills including agile/scrum, backlog hygiene, dependency tracking, and risk management
- Preferred: 5+ years of product management experience, with at least 2+ years on data, platform, or AI/ML products
- Preferred: Familiarity with adjacent technologies such as vector databases, semantic search, large language model and retrieval-augmented generation architectures, data catalogs, and lineage tools
- Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency.
- Strong experience using AI tools to lead innovation initiatives.
- Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization
Education
- Bachelor's degree in any discipline; backgrounds in international relations, political science, law, economics, area studies, or similar are as relevant to this role as technical degrees, and often more so
- Equivalent practical experience will be considered in lieu of a formal degree
Responsibilities
- Leads product management for an enterprise Knowledge Graph platform, connecting data and engineering teams to power analytics, search, and next-generation GenAI applications.
- Advance Moody's Risk Insights business to build solutions that address new and existing problems across the organization
- Lead the structured evaluation of Knowledge Graph technologies — defining evaluation criteria, running proofs of concept with engineering, documenting trade-offs, and driving build-vs-buy decisions
- Source, qualify, and prioritize Knowledge Graph use cases across product sub-teams, maintaining a transparent backlog with clear value hypotheses, success metrics, and prioritization rationale
- Translate ambiguous business problems into precise functional and non-functional requirements covering ontology scope, data sources, query patterns, latency and scale targets, access controls, and integration points
- Own the product roadmap for the Knowledge Graph platform, run agile ceremonies, and manage dependencies across data, platform, and application teams to keep delivery on track
- Serve as the primary point of contact for business sponsors, domain experts, data owners, and consuming product teams — communicating progress, trade-offs, and risks clearly to both technical and non-technical audiences
- Define onboarding paths for new use cases, drive platform adoption, and feed learnings back into the roadmap to support continuous improvement
About the Team
Our Risk Insights team is responsible for identifying new ways to leverage Moody's data to solve new and existing problems. Part of this role will include scaling a Knowledge Graph which will form the foundational data infrastructure that unifies and contextualizes information across the organization, powering analytics, search, and next-generation GenAI and retrieval-augmented generation applications. By joining our team, you will be part of exciting work which strives to leverage data, technology and AI to make the world a better and safer place by making it harder for bad actors to evade sanctions or launder the proceeds of crimes as prevalent as fraud and as heinous as human trafficking.
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.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Let's begin! Assc Dir-Product Manager in London employer: Moodys
At Moody's, we pride ourselves on fostering an inclusive and innovative work culture that empowers our employees to thrive. With a strong focus on professional growth, we offer numerous opportunities for advancement in the rapidly evolving fields of AI and risk assessment. Located in a dynamic environment, our team is dedicated to making a meaningful impact by leveraging cutting-edge technology to address critical global challenges.
StudySmarter Expert Advice🤫
We think this is how you could land Let's begin! Assc Dir-Product Manager in London
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Moodys!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Moodys would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Moodys through your school's career services!
We think you need these skills to ace Let's begin! Assc Dir-Product Manager in London
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Let's begin! Assc Dir-Product Manager, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Let's begin! Assc Dir-Product Manager position at Moodys. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Moodys
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
