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Quantitative Researcher – Compute Markets

A pricing-focused researcher building valuation frameworks for a new market in computing capacity, where forward prices barely exist yet. It sits in a trading firm's team creating bilateral forwards and structured deals.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

  • Construct forward curves with little or no observable market data
  • Price forward, structured and credit-linked compute transactions
  • Produce and defend bid and offer levels on bilateral requests
  • Own the valuation model for the book to due-diligence standard

What they ask for

Required

  • PhD or MSc in financial maths, OR, statistics, physics or economics
  • Pricing from first principles when data is sparse
  • Python
  • Monte Carlo methods
  • Uncertainty quantification
  • Willingness to own and revise assumptions

Preferred

  • Work in commodities, energy, freight, weather or insurance-linked markets
Education
PhD or MSc in a quantitative discipline
Experience
Experience building prices where market data is thin
Languages and tools
  • Python

How to prepare

  • Build a forward curve for an illiquid commodity-like asset from structural assumptions
  • Practise Monte Carlo simulation with confidence intervals on prices
  • Study how commodity forwards and storage or cost-of-carry models work
  • Learn model documentation and validation habits

What to study

The Derivatives Pricing Quant roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on DRW’s site before applying: requirements, location and pay can change after we check them.

View the posting on DRW’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with DRW and doesn’t handle applications.

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