Andreas Nielsen is a Senior Quantitative Trader with eight years of experience building fully automated trading systems for European power markets, specializing in renewable energy. He holds a PhD in Machine Learning from Aarhus University and combines deep expertise in probabilistic weather forecasting with hands-on skills in Python, R, T-SQL, VBA and DevOps to turn meteorological signals into trading alpha. At Danske Commodities he progressed from algorithmic trader to Head of Quantitative Weather Analysis, leading the integration of multi-modal meteorological data into production strategies. Now at Alpha Energy, he continues to bridge research and operations, deploying deep-learning driven forecasts into live trading books. Colleagues value him for translating complex ML research into robust, auditable systems and for an uncommon blend of academic rigor and market-facing pragmatism.
8 years of coding experience
2 years of employment as a software developer
Bachelor's Degree Exchange Student Undergraduate - Finance & Marketing Management, Bachelor's Degree Exchange Student Undergraduate - Finance & Marketing Management at The Hong Kong Polytechnic University
Doctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at Aarhus University
Harvard University
High School/Secondary Diplomas and Certificates Physics Chemistry and Math, High School/Secondary Diplomas and Certificates Physics Chemistry and Math at Frederikshavn Gymnasium & HF
Contributions:2 PRs, 205 pushes, 3 branches in 8 months
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