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. We strive 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 seek candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

As Associate Director - Data Value Analyst, you will lead the analysis needed to determine, document, communicate, implement, and maintain the relative value of data from multiple sources within blended products. You will define valuation scope by clarifying product use cases, target customers, commercial objectives, pricing, packaging, contractual context, and decision support needs. You will build a clear fact base by identifying source, content, coverage, quality, timeliness, usage rights, transformation, and role of each dataset in the final product.

You will assess each dataset’s contribution to product functionality, customer outcomes, differentiation, revenue potential, cost, and go-to-market value. Applying appropriate valuation methods, you will evaluate internal and external comparisons, analyze market and customer evidence, identify substitute data and alternative solutions, and develop defensible recommendations by reconciling incomplete or conflicting evidence.

Responsibilities include preparing valuation memoranda, maintaining complete decision records for governance and audit, presenting and defending recommendations to stakeholders, implementing approved determinations, reviewing valuations periodically, providing subject-matter support to Legal and Risk, and improving the valuation framework by standardizing methods and maintaining a library of precedents.

About the Team
The Moody’s Analytics Data Estate Data Governance team ensures data is trusted, consistent, well understood, and used responsibly as a business asset. The team sets governance policies, standards, decision rights, and accountability; supports data ownership and stewardship; develops shared data models; and strengthens data quality, metadata, lineage, reference and master data, and lifecycle practices. Working across business, product, data, technology, Legal, and Risk teams, it turns enterprise data strategy into practical ways of working that make data easier to find, understand, combine, protect, and use for products, analytics, AI, regulatory compliance, and business decisions.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration 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
7+ years of relevant professional experience in valuation, financial analysis, data products, licensing, royalties, pricing, commercial strategy, or a related discipline.
Experience in data licensing, royalties, transfer pricing, intangible-asset valuation, B2B information or subscription products, or regulated data environments is highly valued.
Market and customer research experience including surveys, interviews, benchmark studies, and analysis of customer choices and willingness to pay.
Strong knowledge of valuation approaches such as comparable-product, market, income, cost, contribution, willingness-to-pay, scenario, and sensitivity analyses.
Advanced analytical, financial modeling, and tool proficiency including spreadsheets and, where appropriate, SQL, Python, R, or business intelligence platforms.
Commercial, strategic, and stakeholder judgment with ability to connect valuation findings to product economics, customer outcomes, and go-to-market priorities.
Professional integrity, independence, and communication skills to make and defend evidence-based decisions.
Documentation, governance discipline, execution, and learning agility to manage complex valuations and maintain transparent records.

About you
Commercially minded valuation professional with sound analysis, practical judgment, and cross-functional influence.
Ability to work collaboratively across Product, Data Operations, Royalties Management, Data Strategy, Finance, Sales, Risk, Procurement, Legal, and related functions.
Strong communication skills to explain methods, assumptions, uncertainty, and recommendations to technical and non-technical audiences.
Self-motivated, detail-oriented, and able to prioritize by business impact and risk.
Committed to upholding trust through integrity and championing diverse perspectives.

Qualifications
Bachelor’s or master’s degree, or equivalent experience, in finance, business administration, economics, or a related field.
Relevant credentials such as CFA, ASA, or CPA are advantageous but not required.