Working Student Quantitative Research GO Desk

• AFS Energy is looking for a final-year university student to join us as a working student. You will
• maintain our existing GO price forecasting model, test it in a shadow portfolio and explore how
• the model can be used commercially to support trading decisions in European renewable
• energy markets.

About AFS Energy

• AFS Energy is an international-oriented scale-up in the heart of Amsterdam. We deal with
• opportunities and developments in Renewable Energy every day. With an increasing number of
• organisations striving to reduce their emissions, AFS Energy has emerged as a key player in
• Europe, offering crucial support in achieving sustainability goals. Our work involves
• procurement, market access and advisory services across various environmental markets. From
• transitioning to renewable energy sources such as green electricity and green gas to promoting
• CO2-reduction projects, the possibilities for making the world a more sustainable place are
• limitless.
• About the project
• We are extending our use of data for trading in environmental commodities. You will maintain
• the existing GO price forecasting model, test it thoroughly and explore its practical and
• commercial applications.

Key responsibilities

• ● Maintain, monitor and improve the existing GO price forecasting model.
• ● Test the model in a shadow portfolio and evaluate its performance in real market
• conditions.
• ● Analyse results and identify opportunities to use the model for trading support.
• ● Explore how the model can be made commercially viable and determine which insights
• should reach which stakeholders (traders, portfolio managers, product development,
• etc.).
• ● Apply econometric, time-series and machine learning techniques to interpret model
• outputs and market behaviour.
• ● Document assumptions, model logic, data sources, test results and limitations clearly.
• ● Collaborate with Product Development, Portfolio Management and the GO trading desk.
• Who we’re looking for
• ● Final-year university student (bachelor or master) in Econometrics, Quantitative Finance,
• Data Science, Applied Mathematics, Business Analytics, Computational Science or a
• similar quantitative field.
• ● Strong analytical mindset with a proactive attitude and drive to make an impact.
• ● Solid experience with Python, R or MATLAB for quantitative research, statistical
• modelling and time-series analysis.
• ● Familiar with machine learning techniques and forecasting methods.
• ● Comfortable working with large datasets and backtesting approaches.
• ● Independent thinker who identifies challenges and proposes practical solutions.
• ● Team-oriented with an entrepreneurial spirit and genuine interest in trading and
• renewable energy markets.

Nice to have

• ● Previous experience with model maintenance, quantitative research projects or shadow
• portfolio testing.
• ● Knowledge of energy markets, financial markets or commodity trading.
• ● Experience with version control systems (such as Git) and documenting code, models
• and data pipelines.
• ● Familiarity with AI-assisted coding and analytical workflows.
• ● Ability to communicate technical findings clearly to non-technical stakeholders.
• What we offer
• ● A unique workplace on the historic Stock Exchange floor in the city centre.
• ● Working in an awesome, internationally diverse (35+ nationalities), continuously growing
• and highly driven team.
• ● An organisation where there is room for your refreshing ideas and to be entrepreneurial.
• ● Focus on your personal and professional growth with support through training, coaching
• and development sessions.
• ● The opportunity to broaden your network by attending (inter)national events and
• congresses.
• ● Depending on where you live, an NS train travel card or bike lease options.
• ● Free in-house gym.
• ● Sponsored in-house lunch facilities.
• ● Regular fun team and company events plus the AFS Friday afternoon drinks.

Apply

• Are you ready for a new challenge and do you want to become a member of this motivated and
• international team on the Amsterdam Stock Exchange? Please send your resumé through the
• application link. For further questions, contact Teije Veenstra: [email hidden] .
• We would like to receive your CV and a cover letter describing your motivation for this role.
• Application process

• 1st get-to-know interview with the Corporate Recruiter (online).
• 2nd interview with Team Directors and an assessment at the office.
• 3rd interview with potential colleagues.
• Job offer.