📍
London, UK

Software Engineer, OTC Derivatives Data

3 years experience
Finance
Software engineering
Posted:
January 6, 2026

S&P Global

Financial data and market intelligence platform
72.1
Palpable Score
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The Team:

OTC Derivatives Data provides consistent and reliable curve and volatility data for over-the-counter derivatives in support of trading, research, valuation and independent price verification. Asset class coverage includes foreign exchange, interest rate and equity derivatives.

As Full-stack Java/Clojure developer working within OTC Derivatives Data you’ll be working closely with our product and data specialists across all asset classes, extending our platform. As well as delivering software of high quality, you’ll work towards the team’s goals of high test-coverage, automated, frequent deployment and regular cycles of code delivery, testing and feedback

Responsibilities and Impact:

What We’re Looking For:

Basic Required Qualifications:

Additional Preferred Qualifications:

About the company

S&P Global

Company overview
S&P Global sells data, analytics, and benchmarks used across global financial and commodity markets, plus credit ratings through S&P Global Ratings and indices through S&P Dow Jones Indices. The company’s products help investors, banks, corporates, and governments assess risk, price assets, and make decisions using market data and research. S&P Global also operates large information businesses in areas like commodities, private markets, and market intelligence. S&P Global serves customers worldwide across multiple divisions and product lines.

Locations and presence

S&P Global operates globally across four regions with major hubs including New York and London, alongside large delivery and analytics teams in other countries. S&P Global promotes flexible working arrangements including flex hours and work-from-home options, while some roles list minimum office days by team.

Palpable Score

72.1
/ 100
S&P Global offers several credible entry points through internships and early-career rotations, and S&P Global backs that up with benefits and structured learning language that graduates can verify on public pages. Hiring transparency is decent, helped by a published candidate journey and repeatable interview patterns, but candidates still report uneven follow-up experiences. Outcomes are the main limiter because S&P Global does not publish intern conversion, early-tenure retention, or typical time-to-promotion data.
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