A leading multi-strat hedge fund is scaling its Commodities technology platform in London. I am hiring engineers who want to sit directly between Python engineering, real-time systems, live PnL, and front-office trading. You’ll be building the systems used by PMs and traders to manage exposure across gas, power, oil, metals and physical commodities, where milliseconds, accuracy and reliability directly matter.
What you’ll do:
- Build and own Python platforms powering intraday risk, PnL, valuation, and market data workflows
- Engineer production systems processing millions of curves, trades, positions, and pricing updates daily
- Work directly with commodities PMs and traders to turn messy trading workflows into clean, scalable tools
- Optimise data-heavy applications across time-series, pricing, scenario analysis, and exposure reporting
- Improve platform reliability, monitoring, automation, and support across live front-office systems
Why apply:
- Close proximity to trading, your systems will be used directly by PMs and traders
- Genuinely complex commodities problems across gas, power, oil, and physical markets
- High-impact buildout with no maintenance of legacy tech
- Lean front-office engineering team with total ownership
- Opportunity to blend Python, data engineering, risk, PnL, and performance-focused systems
What we’re looking for:
- Over 5 years’ experience in strong software engineering roles
- Python engineering ability across data-heavy production systems
- Experience building Risk, PnL, valuation, trading, or market data platforms
- Commodities, energy, gas, power, oil, or physical markets experience is ideal
- Strong SQL, data modelling, and time-series data experience
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