Location
London

Hours
Full Time

Salary
Negotiable

About the Role
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities by fostering 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.

This role owns the path to product-market fit for property underwriting data solutions in European and London Market insurance, driving evidence-based decisions on where and how the product creates value for insurers. You will lead the drive to product-market fit for property underwriting solutions in European and London Market insurance, iterating both the product and go-to-market approach with early customers.

Responsibilities include iterating the product directly with engineering and data science by translating customer jobs to be done into technical specifications, working hands-on in data review, defect triage and feature definition, and arbitrating trade-offs between scope, quality and timeline. You will build a segmented view of how European insurers differ in underwriting practice, data maturity and systems constraints—across countries, between primary and specialty carriers, and including delegated business—and translate those differences into distinct adoption paths and product design decisions.

You will lead the carrier evaluation programme end to end: designing evaluations with prospective insurers, structuring how findings from early customer usage are captured and themed, and driving prioritised product decisions from that evidence. You will iterate the go-to-market approach in partnership with sales, marketing and client success by refining buyer personas, value proposition, pricing and packaging based on evaluation results and an understanding of the buyer's and customer's economics.

Holding commercial accountability for the offering, you will convert evaluations into paid adoption and directly support business development teams in active pursuits. You will own and advance the business case, financial model and go-to-market plan through internal investment and stage-gate reviews, and report progress and learning to senior leadership.

Coordination of cross-functional dependencies spanning geospatial and property data sourcing, address matching, catastrophe risk analytics, legal and data privacy review will be part of your role. You will represent the product directly with clients across European markets and support London Market business development by shaping how the proposition is packaged for US-exposed commercial and delegated business.

Our Property Underwriting team builds the property intelligence and catastrophe risk analytics that insurers use to select, price and triage individual risks. We help insurance clients underwrite more accurately at the point of decision, extend proven analytics into new geographies and lines of business, and bring catastrophe modelling science directly into everyday underwriting workflows. By joining our team, you will be part of exciting work expanding our property underwriting offering into European and London Market insurance, working from our London insurance office alongside colleagues across product, engineering and commercial teams. Our products are built on machine learning and computer vision applied to aerial imagery, and we actively adopt artificial intelligence tools in how we build, evaluate and support them—with a strong emphasis on responsible and well-governed use.

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.

Experience
- Eight or more years of product management experience, or an equivalent combination of product management and hands-on experience innovating in property underwriting, for example at an insurer or insurance technology provider
- Demonstrated experience taking a product from concept to market, including new geographic or segment expansion, with comfort operating under incomplete information and evolving scope
- Deep knowledge of property and casualty insurance underwriting — how risks are selected, priced and triaged, and how data and analytics are consumed in those workflows
- Technical depth sufficient to work directly with engineering and data science on data products: fluency with data schemas, model outputs and quality metrics, and ability to run structured customer research and convert findings into specifications
- Commercial fluency including building and defending business cases, shaping pricing and packaging around customer economics, and accountability for adoption and revenue outcomes
- Proven ability to lead and influence cross-functional teams including engineering, data science, sales, marketing and client success without direct authority
- Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency
- Experience in the London Market (Lloyd's syndicate, coverholder or specialty broker) or with US commercial property exposures written from London is strongly valued but not required
- Familiarity with geospatial data, aerial or satellite imagery, computer vision derived data products, or catastrophe risk modelling is helpful

About you
Invests in every relationship, leads with curiosity, champions diverse perspectives, turns inputs into actions, and upholds trust through integrity. You are comfortable working in a fast-evolving environment and can exercise independent judgement about what insurers will value. You have strong communication skills and credibility with senior stakeholders.

Qualifications
- Bachelor's degree required; strong candidates come from diverse academic backgrounds including engineering, computer science, mathematics, physical sciences, economics and business
- Advanced degree such as a master's or MBA, or a relevant professional insurance qualification, preferred but not required