The rarest analyst on a power desk builds the model, not just runs it.
A senior desk-side power analyst in London earns £90k to £165k base. I teach the merit order, the markets and the model in code, and I review your code myself.
See the planIndicative pay, London 2026. Sources: a September 2026 London posting, a December 2025 Senior Power Trading Analyst posting and 2026 recruiter guides.
Your week
Tomorrow's evening price in Germany is €95. The trader asks: too high, too low, or about right?
Your data is late this morning, and the view is due.
Your model got a day wrong, and the trader wants to know why.
What to learn
The career guide's four stages: read the machine, read the markets, build the model, own the view.
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
"As someone working in the industry but who has never completed a course etc, this validated a lot of what I learned on the job."
Where to start
Premium, because the model is built in the projects, and I review it.
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.
I built the trading platforms behind six desks at Shell, and at Centrica and Limejump.
See the plan