Since our inception in 2008, Alipes has been a trailblazer in automating financial markets, continuously growing and diversifying into new business areas through cutting-edge technology. In 2022 we entered the Energy sector, focusing on short-term physical power trading using machine learning to interpret fundamental and market data for our strategies. We are committed to supporting liquid power markets and the free flow of energy—key enablers in transitioning from fossil fuels to renewable sources—promoting a sustainable future through innovation.

THE ROLE:

We are seeking a Quantitative Researcher to join our team, enhancing our capabilities in Energy trading. You will develop predictive models and construct robust datasets to drive innovative trading strategies. Leveraging your skills in predictive analytics and computational techniques, combined with experience in power or gas markets or forecasting energy fundamentals, you’ll work autonomously on high-impact projects while collaborating with our close-knit group to advance our mission.

KEY RESPONSIBILITIES:

• Design and implement advanced predictive models to forecast energy market trends and inform trading strategies.
• Build, curate, and maintain high-quality datasets by integrating diverse energy market data sources, including fundamental and real-time market inputs.
• Conduct in-depth research and analysis of energy market dynamics to support model development.
• Develop, test, and deploy production-level code for trading systems, predictive tools, and data pipelines.
• Optimize algorithms, models, and datasets for performance, accuracy, and scalability.
• Collaborate with the team to share insights and refine strategies, while owning your individual projects.