Index Design R&D Analyst - Equities & Digital Assets

S&P Global

Greater London

On-site

GBP 90,000 - 130,000

Full time

14 days+
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Benefits offered by this job

Health & Wellness benefits
Flexible downtime
Continuous learning opportunities
Retirement and education programs

Job summary

S&P Dow Jones Indices is seeking an Equities & Digital Assets R&D Analyst to support the research, design and delivery of differentiated index solutions within the Equities & Digital Assets value stream. You will work with commercial, analytical and technology colleagues to translate client needs into scalable index concepts.

The role requires strong numeracy, programming capability, and the ability to work with complex datasets, contributing to research publications, templates and repeatable

Qualifications

  • Experience with equity markets, portfolio construction and index design.
  • Ability to develop repeatable analytical workflows and back-tests.
  • Familiarity with data handling and quantitative research methods.

Responsibilities

  • Support the research, design and analysis of new indices within the value stream.
  • Translate objectives into testable index design concepts.
  • Access, clean, transform and validate complex datasets for research.
  • Develop and run backtests and quantitative analyses.
  • Apply programming to build robust analytical workflows and tools.
  • Assist with methodology drafting, governance and design reviews.
  • Prepare charts and materials for internal and client discussions.

Skills

Equity markets understanding
Portfolio construction
Python programming
Analytical skills
Communication skills

Education

Master’s degree or CFA desirable

Job description

S&P Dow Jones Indices is seeking an Equities & Digital Assets R&D Analyst to support the research, design and delivery of differentiated index solutions within the Equities & Digital Assets value stream. You will work with commercial, analytical and technology colleagues to translate client needs into scalable index concepts.

The role requires strong numeracy, programming capability, and the ability to work with complex datasets, contributing to research publications, templates and repeatable

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