Cédric Bovar is a portfolio manager based in Kuala Lumpur with 11 years of experience blending quantitative trading, machine learning, and software engineering. He moved from roles as a quantitative trader at Citi to portfolio management at Millennium, leveraging a strong technical foundation built at IBM and Total and formal training in deep learning and distributed systems. Comfortable shipping production code and prototyping ML-driven intraday trading strategies and mobile apps, he bridges research-grade models and real-world execution. Educated in electrical engineering and parallel computing, he brings a systems-level view to latency-sensitive trading problems. Colleagues would note his uncommon mix of hands-on engineering experience from large enterprises and focused quantitative trading expertise.
10 years of coding experience
3 years of employment as a software developer
Online courses, Online courses at Coursera
Deep Learning Nanodegree, Artificial Intelligence, Deep Learning Nanodegree, Artificial Intelligence at Udacity
M.Sc, Parallel computing, Distributed System, M.Sc, Parallel computing, Distributed System at Université de Picardie Jules Verne (Amiens)
M.Sc, Electrical Engineering majoring in Computer Networks and Telecommunications, M.Sc, Electrical Engineering majoring in Computer Networks and Telecommunications at ESIEE-Amiens, école d'ingénieurs
Baccalaureat, major in mathematics, Baccalaureat, major in mathematics at Lycée Français de Singapour
Contributions:30 commits, 22 pushes, 1 branch in 1 day
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