Quantitative Trading Analyst - Flexibility Trading

Dexter Energy is an Amsterdam-based scale-up dedicated to building AI-based forecasting and optimization products to support renewable energy companies. Our mission is to enable a sustainable and affordable power system that transforms the energy market. We are committed to making a significant impact on climate change by making renewables more predictable and profitable, thus accelerating the transition away from fossil fuels.

Role Overview

As a Quantitative Trading Analyst in the Flexibility Optimization product team, you will play a crucial role in designing, enhancing, and monitoring flexibility optimization strategies for our customers. This involves working within a cross-functional team which develops and operates machine learning-powered software products that optimize renewable assets across short-term power markets.

Key Responsibilities

• Develop, deploy, and monitor flexibility optimization strategies.

• Investigate new meteorological and energy market data sources and generate ideas for machine learning model input features to enhance performance.

• Improve the validation of new flexibility optimization strategies through our automated backtesting framework.

• Analyze new markets to support the geographical expansion of our optimization products.

• Design and prototype new optimization products or features.

• Monitor and report on energy markets to identify trends impacting product performance.

• Collaborate with data scientists to design, build, and validate machine learning-based forecasting and optimization models.

• Work with software engineers to transition research results into production.

Why Join Us?

• Engage in greenfield projects with opportunities to build new features and services from the ground up.

• Contribute to a clean-tech scale-up with a positive environmental impact.

• Be part of an ambitious, motivated, and entrepreneurial team with exceptional growth opportunities.

• Experience a flat hierarchy environment where decisions are made swiftly.

• Benefit from competitive salary and stock appreciation rights.

• Learn from highly talented colleagues eager to share their knowledge.

• Work with large data volumes and modern technologies on the Google Cloud Platform.

• Enjoy a balanced work-life dynamic, with support for planning work around personal interests.

Required Qualifications

• Minimum of 5 years of experience in a commercial environment, with at least 2 years of relevant domain experience.

• Expert understanding of European short-term energy markets (day-ahead, intraday, and imbalance markets).

• Project experience in setting up, validating, and analyzing flexibility optimization strategies, including backtesting.

• Proficiency with the Python data stack (e.g., pandas, scikit-learn, Jupyter).

• Strong motivation to build flexibility optimization software products.

• Excellent communication skills, with a good command of the English language.

• Ability to work independently while collaborating proactively with others in the company.

• Capacity to thrive in a fast-paced, dynamic environment.

• A passion for renewable energy and a desire to make a significant impact.

Join Dexter Energy as a Quantitative Trading Analyst and contribute to driving the renewable energy revolution. Apply now to be part of an inclusive, innovative team that is shaping the future of sustainable energy.

Dexter is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.