The rarest quant on a power desk ships to production.
London desks pay a senior quant developer in short-term power £120k to £165k. I teach the market, the battery and the production code, and I review every pull request myself.
See the planIndicative pay, 2026. Sources: a March 2026 Eneco posting, 2026 recruiter guides and UK contract postings, as in the career guide.
Your week
The wind forecast drops 10 GW after the day-ahead auction. Your system has fifteen minutes.
The data arrived late last night. What did your bot trade on?
The exchange acknowledges an order you never sent.
What to learn
The career guide's four stages: read the market, learn the asset, build the pipeline, run the bot.
Standard
Energy Trading Fundamentals
How energy markets work, from the power station up.
- How power is generated and priced: the merit order and the marginal plant.
- Gas: LNG, storage, NBP and TTF. The spark spread.
- Positions, delta exposure, forward curves and mark-to-market P&L.
- Order books, interconnectors, carbon, limits and VaR.
You come away able to follow a desk's talk of positions, curves and P&L, and to say where each number comes from.
Standard
The Practitioner Track
The instruments and processes, as a desk runs them.
- Day-ahead and intraday power, imbalance, and trading gas in Great Britain.
- Swaps and options: Black 76 and the Greeks.
- EFET and ISDA agreements, PPAs, cross-border capacity and FTRs.
- REMIT, EMIR and MiFID II. Power trading strategies.
- A trade from capture to settlement. The nightly curve run.
You come away able to read a PPA term sheet and follow a trade to settlement.
Standard
BESS Economics
How grid-scale batteries make money.
- The battery as a constrained asset.
- Arbitrage, balancing and capacity, and how they stack.
- Dispatch optimisation in Python.
- Route to market, project economics, and proving the revenue.
You come away able to tell gross battery revenue from revenue a lender will finance.
Standard
Python for Commodities
Python written the way a trading system needs it.
- Structure, data modelling and tests, with every example from trading.
- The clock-change days, money in Decimal, and strict validation at the boundary.
- Tests that protect money, reruns that agree, and audit records.
You come away able to write a nightly settlement and P&L job you can rerun and explain.
Premium
The Systems Builder Track
Projects that build on each other. I review every pull request.
- A price curve simulator: mean reversion, a command line, tests, merit-order dispatch.
- A position and P&L engine: trade ingestion, aggregation, delta and mark-to-market.
- A toy power exchange: an order book, continuous matching, a day-ahead auction and an API.
You come away with working code on GitHub that you can walk an interviewer through.
In their words
"Jordan has helped to develop those new skills further through insightful pull request comments with each PR I submit."
Where to start
Premium, because the pipeline is built in the projects, and I review every pull request.
Recommended
Premium
Build it, and I check your work.
$397 a month
Or $2,850 a year: you save $1,914.
A month costs less than half a day at the rate desks pay.
- I review every pull request on your projects myself, within three working days.
- I review your CV, then introduce you to recruiters who place into trading technology.
- Bootcamps and one to one are open to Premium members only.
- The Systems Builder Track: hands-on projects.
- My Slack community.
- Everything in Standard.
Submit your first project. If my review isn't worth the month, email me within 14 days for a full refund.
Read the free career guide: Quantitative Developer, short-term power
I built the trading platforms behind six desks at Shell, and at Centrica and Limejump.
See the plan