Data Valuation Strategist

Moody's Corporation

Greater London

On-site

GBP 120,000 - 170,000

Full time

14 days+
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Job summary

Moody's Corporation is seeking a senior valuation professional to lead the data value analysis for blended products. You will define scope, build a robust data fact base, and apply rigorous valuation methods to inform pricing and licensing decisions.

This role requires strong financial modeling, cross-functional collaboration across Product, Data, Finance, and Risk teams, and the ability to defend evidence-based recommendations to senior stakeholders.

Qualifications

  • Bachelor's or master's degree in finance, business administration, economics, or related field.
  • Experience in data licensing, royalties, transfer pricing, intangible-asset valuation, B2B information or subscription products, or regulated data environments; a credential such as CFA/ASA/CPA is advantageous.

Responsibilities

  • Lead analysis to determine, document, communicate, implement, and maintain the relative value of data from multiple sources within blended products.
  • Define valuation scope by clarifying use cases, target customers, pricing, packaging, and contractual context.
  • Build a fact base by identifying source, content, coverage, quality, timeliness, and data transformation for each dataset.
  • Assess each dataset's contribution to product functionality, revenue potential, and market value.
  • Apply valuation methods using precedents, benchmarks, costs, income, and willingness-to-pay findings.
  • Develop defensible recommendations by reconciling evidence, testing assumptions, and noting uncertainties.
  • Prepare valuation memoranda explaining evidence, methods, calculations, and rationale for ranges or allocations.
  • Maintain decision records with source evidence, model versions, approvals, dates, and governance triggers.
  • Present and defend recommendations to stakeholders and ensure independence of analysis.
  • Implement determinations by providing allocation data to downstream systems and verifying correct application.
  • Review valuations periodically for data source changes, product design, pricing, and market conditions.

Skills

Data valuation
Financial modeling
Cross-functional influence
Stakeholder management
SQL/Python/R
Market research
Valuation methodologies

Education

Bachelor's or Master's in finance/economics
CFA/ASA/CPA advantageous

Tools

SQL
Python
R

Job description

Moody's Corporation is seeking a senior valuation professional to lead the data value analysis for blended products. You will define scope, build a robust data fact base, and apply rigorous valuation methods to inform pricing and licensing decisions.

This role requires strong financial modeling, cross-functional collaboration across Product, Data, Finance, and Risk teams, and the ability to defend evidence-based recommendations to senior stakeholders.

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