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 themselves, exchange ideas, and innovate. As a global leader in ratings and integrated risk assessment, Moody’s is advancing AI to transform insight into action—enabling intelligence that understands complexity and responds effectively. We decode risk to unlock opportunity, helping clients navigate uncertainty with clarity, speed, and confidence.

We are seeking an Associate Director - Data Value Analyst who is commercially minded and skilled in valuation, financial analysis, and data product strategy. This role requires combining sound analysis, practical judgment, and cross-functional influence to determine and defend the relative value of data within blended products. You will lead complex valuations, build alignment across multiple stakeholders, and provide transparent, evidence-based recommendations that support commercial and strategic decisions.

If you are excited about this opportunity but do not meet every single requirement, we encourage you to apply. You may still be a great fit for this role or other open roles. We value curiosity, diverse perspectives, integrity, and turning inputs into actions.

About the Team
The Moody’s Analytics Data Estate Data Governance team ensures data is trusted, consistent, well understood, and responsibly used as a business asset. The team sets governance policies, supports data stewardship, develops shared data models, and strengthens data quality and lifecycle practices. Working across business, product, data, technology, Legal, and Risk teams, it translates 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.

Experience
7+ years of relevant professional experience in valuation, financial analysis, data products, licensing, royalties, pricing, commercial strategy, or related disciplines.
Expertise in data valuation, including estimating dataset contributions to blended products and understanding how value varies by customer, use case, product design, exclusivity, timeliness, quality, coverage, and strategic importance.
Strong knowledge of valuation approaches such as comparable-product, market, income, cost, contribution, willingness-to-pay, scenario, and sensitivity analyses.
Advanced analytical and financial modeling skills, with proficiency in spreadsheets and, where appropriate, SQL, Python, R, business intelligence platforms, or similar technologies.
Experience in market and customer research, including surveys, interviews, benchmark studies, and analysis of customer behavior and willingness to pay.
Commercial, strategic, and stakeholder judgment with the ability to connect valuation findings to product economics, customer outcomes, competitive differentiation, and go-to-market priorities.
Professional integrity, independence, and strong communication skills to make and defend evidence-based decisions to both technical and non-technical audiences.
Documentation, governance discipline, and learning agility to manage complex valuations, prioritize by business impact and risk, and quickly understand unfamiliar datasets, products, industries, and emerging use cases.

About you
Commercially minded valuation professional with sound analytical skills and practical judgment.
Ability to influence cross-functional teams and build alignment across Product, Data Operations, Royalties Management, Data Strategy, Finance, Sales, Risk, Procurement, Legal, and related functions.
Strong communicator capable of explaining methods, assumptions, uncertainty, and recommendations clearly.
Detail-oriented with a commitment to producing transparent analysis and maintaining complete decision records.
Adaptable and eager to improve valuation frameworks and standardize methods and quality controls.

Qualifications
Bachelor’s or master’s degree, or equivalent experience, in finance, business administration, economics, or a related field.
Experience in data licensing, royalties, transfer pricing, intangible-asset valuation, B2B information or subscription products, or regulated data environments is advantageous.
Relevant credentials such as CFA, ASA, or CPA are a plus but not required.