Quantitative Trader - Energy Markets

Quantitative Trader - Energy Markets

Overview

I'm working with an energy trading business that manages a renewables and battery storage portfolio, mostly BESS, alongside solar and wind assets, across European power markets. My client needs a Quantitative Trader who builds the optimisation models and execution logic behind the portfolio, not just trades around models someone else built. You'll own the P&L for the assets you optimise, working across day-ahead, intraday and balancing markets.

This role suits someone who writes code that trades live, in a business focused on decarbonising the grid.

Responsibilities

• Own the P&L for a portfolio of renewables and battery storage assets, trading and optimising positions across day-ahead, intraday and balancing markets.
• Build and maintain the optimisation algorithms and execution logic that dispatch the batteries and manage solar and wind exposure.
• Develop price and generation forecasting models for the markets relevant to battery arbitrage and renewable asset optimisation.
• Test strategies against live market data and refine models as conditions change.
• Work with data and software engineers to productionise trading and optimisation code.
• Monitor live positions during trading hours and take on periodic on-call cover outside them.

Qualifications

• Track record in quantitative or proprietary trading, with direct P&L accountability.
• Able to build an optimisation model and execution logic from scratch, not just configure existing tools.
• Python skills, comfortable working close to production code.
• Quantitative or statistical background, with experience building forecasting models.
• Exposure to power markets and renewable or battery storage optimisation is an advantage, not a requirement.
• Comfortable working without a heavy review layer, with ownership of your own decisions.

Day-to-Day

• Monitoring battery, solar and wind positions and market conditions in real time.
• Building and testing optimisation strategies and execution logic.
• Reviewing forecast accuracy and refining models against realised prices.
• Working with engineers on trading and optimisation infrastructure.
• Covering periodic night or weekend on-call shifts, with additional pay.

What's on Offer

• Ownership of the trading and optimisation strategy for a live asset portfolio.
• A technical role inside a business focused on grid decarbonisation.
• Hybrid working, with scope to work from abroad.
• Competitive salary plus on-call and performance-related pay.