Data Value & Analytics Lead

Moody's Investors Service

Greater London

On-site

GBP 90,000 - 140,000

Full time

14 days+
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Job summary

Moody's Investors Service seeks a senior valuation professional to determine and defend the relative value of datasets within blended products. You will employ advanced analytics, market benchmarks, and scenario analyses, collaborating across Product, Finance, Data Operations, and Risk to align valuation with business goals.

The role requires 7+ years of experience in valuation or related fields, strong communication skills, and the ability to explain methods and uncertainties to technical and

Qualifications

  • 7+ years of valuation, financial analysis, data products, licensing, royalties, pricing, or related discipline.
  • Ability to estimate dataset contributions to blended products and defend value ranges.
  • Proficiency with valuation methods and ability to set defensible ranges and recommendations.

Responsibilities

  • Lead analysis to determine the relative value of data from multiple sources within blended products.
  • Define valuation scope: use cases, customers, pricing, and contractual context.
  • Build a fact base: source, coverage, quality, timeliness, and data roles in the product.
  • Develop defensible recommendations and document valuation memoranda for low/high/recommended values.

Skills

Valuation
Financial analysis
Data products
Licensing & royalties
Pricing
Commercial strategy
Cross-functional influence
Stakeholder communication
Documentation & governance

Education

Bachelor’s or Master’s in finance
CFA/ASA/CPA advantageous

Tools

SQL
Python
R

Job description

Moody's Investors Service seeks a senior valuation professional to determine and defend the relative value of datasets within blended products. You will employ advanced analytics, market benchmarks, and scenario analyses, collaborating across Product, Finance, Data Operations, and Risk to align valuation with business goals.

The role requires 7+ years of experience in valuation or related fields, strong communication skills, and the ability to explain methods and uncertainties to technical and

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