Job Description

Lead Quant Trader

Location: Netherlands (Hybrid)

Overview

We are seeking a highly skilled and experienced Lead Quant Trader to join the automated trading division of a well-established Dutch energy supplier. This division manages all trading activities in-house, including wholesale, balancing, and congestion markets.

This is a unique opportunity to lead the quant trading and forecasting team, with a clear pathway to eventually oversee the entire trading division.

Responsibilities

As the Lead Quant Trader, you will:

• Lead and manage the quant trading and forecasting team.


• Develop, optimise, and implement trading and forecasting algorithms and models, including hands-on coding.


• Monitor and manage short-term positions in day-ahead and intraday markets.


• Translate time series data and market drivers (e.g., weather, outages, congestion, imbalance signals) into actionable model improvements and trading strategies.


• Establish and oversee the model architecture for trading and forecasting activities.


• Optimise the existing portfolio and collaborate with the supply side of the business to develop new customer and asset-backed products.


• Drive the implementation of new capabilities, including ex-post trading and third-party steering.


• Report to senior management on model performance, trading outcomes, and optimisation opportunities.

Qualifications

To excel in this role, you should possess:

• 5 to 10 years of experience in energy trading within a physical or asset-backed business. (Backgrounds in proprietary trading, banking, or insurance are not suitable for this role.)


• Proven leadership experience managing quants or data engineers, ideally with a formal team lead or managerial title.


• In-depth knowledge of day-ahead, intraday, balancing, and congestion markets.


• Strong programming skills in Python and/or SQL, with hands-on experience in developing trading algorithms.


• Expertise in time series analysis, statistical modelling, and forecasting, including familiarity with machine learning and/or reinforcement learning.


• Experience in setting up and governing model architecture in a live trading environment.


• A degree in a quantitative, technical, or economics discipline.


• Fluency in Dutch

Nice to Have:

• A PhD in a quantitative discipline.


• Experience applying reinforcement learning to live trading environments.

Day-to-Day

• Lead and mentor a growing team of quant traders and data engineers.


• Develop and refine trading algorithms and forecasting models.


• Monitor market conditions and execute short-term trading strategies.


• Collaborate with cross-functional teams to optimise the trading portfolio and develop innovative products.


• Regularly report on trading and model performance to senior management.


• Stay updated on market trends and integrate new data sources into trading strategies.

Benefits

• Contract: Permanent, 32 to 40 hours per week.


• Holidays: 26 days (full-time), with the potential to earn up to 2 additional days per year.


• Pension: Non-contributory pension plan.


• Additional Compensation: 50% allowance for weekend and public holiday work.

Why This Role?

This position offers a clear pathway to senior leadership, with the opportunity to eventually lead the entire trading division. You will have the autonomy to shape and optimise an in-house trading stack, backed by the resources of a well-established energy supplier.

The company culture is direct and collaborative, empowering you to decide how to build and implement solutions. If you are a driven professional with a passion for energy trading and a desire to lead, this role provides the perfect platform for career growth.

Ready to take the next step in your career? Apply now and become a key player in shaping the future of automated power trading.