Laxus, as part of the investment team is responsible for codifying and back-testing proprietary algorithms, and working on new model optimization functions. He also focuses on data gathering, ingestion, and insight derivations.
Laxus has extensive experience investing within in multi-billion AUM quant asset management strategies. His primary function was producing and applying quantitative research to drive investment decisions, predictive signal construction, and overall process improvement. Laxus is a data science, machine learning and optimization enthusiast. He has been programming since 9th grade and previously a professional gamer. He holds a Masters of Financial Engineering from UCLA Anderson, B.S. in Computer Science from the University of Colorado at Boulder.
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