Quantitative Trader - Energy Markets

Enemix; Hamburg; Hybrid; EUR 90.000 - 170.000; Vollzeit

Benefits dieser Stelle

On-call pay

Hybrid work

Performance-related pay

Zusammenfassung

Enemix is seeking a Quantitative Trader to own the P&L for a renewable and battery storage portfolio, trading across day-ahead, intraday and balancing markets. You will build the optimisation models and execution logic that dispatches assets and manages solar and wind exposure.

You will develop forecasting models, test strategies with live data, and work closely with engineers to productionise trading code. Hybrid work is offered, including international options.

Qualifikationen

• Bachelor’s or master’s in a quantitative field preferred
• Experience building forecasting models for energy markets is a plus
• Proven track record in quantitative or proprietary trading with P&L responsibility

Aufgaben

• Own P&L for renewables and battery storage assets across multiple markets.
• Build and maintain optimisation algorithms and execution logic for dispatch.
• Develop price and generation forecasting models for battery arbitrage and asset optimisation.
• Test strategies against live market data and refine models as conditions change.
• Collaborate with data and software engineers to productionise trading systems.
• Monitor live positions and support on-call coverage as required.

Kenntnisse

Python

Quantitative trading

P&L accountability

Forecasting models

Production-grade code

Ausbildung

Quantitative or statistical background

Jobbeschreibung

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.