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Front Office Quant

Amsterdam, Netherlands


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Today, companies are constantly urged to drastically reduce their carbon footprint. By trading in a wide variety of renewable energy products, STX enables businesses to achieve this goal. In doing so, we contribute to a more transparent environmental commodities market and, therefore, a greener world. We’re looking for a FRONT-OFFICE QUANT to join our business and the extremely dynamic market we operate in, and to embark on a journey with us towards a better tomorrow. 


Turning opportunities into solutions – that’s the specialty of STX’s Front Office. Our team works across various domains, including electricity, renewable gas, carbon offsets, biofuels and energy efficiency. We engage with clients in different markets and countries on a daily basis, and it’s our job to understand their needs and translate them into effective, efficient solutions. To maintain STX’s position as market leader in the fast-changing environmental commodities field, we are continuously capitalizing on new opportunities and optimizing our offering.


As a Front-Office Developer, you will be an essential part of the trading team. Working alongside our team of traders and analysts, you will be responsible for improving and developing our state-of-the-art pricing and risk analytics libraries for both Guarantees of Origin (GoOs) and Renewable Gas. By combining significant quantitative modelling and coding experience (acquired in in a trading environment) with a passion to solve complex mathematical problems, you will help us to further enhance our pricing and trading capabilities. This is an unparalleled career opportunity for an experienced quant looking to hit the ground running in the fast-growing yet illiquid world of environmental commodity markets.


Are you ready to embark on a journey with us? Please submit your application for this job by clicking on the “apply” button. For further questions, please contact the Recruitment department at

STX Group offers equal employment opportunity. Acquisition based on this vacancy is not appreciated. 

#LI-Hybrid #LI-EC1  

Profit or purpose. What if we don't have to choose?

Key Responsibilities

  • Develop, maintain, and enhance cutting-edge quantitative tools and libraries for pricing, risk analytics, and portfolio optimization.
  • Identify opportunities to improve and automate current decision-making workflows.
  • Collaborate with traders and analysts across the team and firm to solve quantitative challenges.

Profit or purpose. What if we don't have to choose?

Key Requirements

  • At least 1-2 years of practical experience as a quant developer in a trading environment (e.g., having worked for a renowned commodity trading house, market making firm or the trading division of an investment bank).
  • Significant experience in programming in Python, particularly in the areas of numerical optimization, quantitative finance, and econometrics.
  • Proven track record of autonomously working on/leading development projects.
  • A passion to understand and solve complex quantitative problems.
  • A genuine excitement about markets and a willingness to gain a deep understanding of environmental commodity markets.
  • A willingness to do highly impactful greenfield work.
  • A highly quantitative academic background (e.g., a STEM or quantitative finance degree).

Compensation and benefits

Competitive remuneration package

Pension scheme contributions

Sport and training opportunities

Strong focus on personal and professional development

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If you have any questions or would like to talk about this position. Please do reach out to:

Talent Acquisition Specialist

Elisabetta Castellan

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Our recruitment process


CV Review

We check if your profile meets the job requirements


Assessment + recruiter intake

Online assessment and recruiter intake call


Two rounds of interviews

We will assess your skills and alignment with the role and team, including a business case if applicable



We will make you an offer, take care of your onboarding and welcome you to the STX family

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