Summary
Chen Zhang is a quantitative trader blending rigorous research with live markets. With a PhD in Computer Science from UCL, where his work on inverse problems, Bayesian inference and machine learning was fully funded by the UCL Computer Science Departmental Studentship, he combines probabilistic modeling, algorithmic design and scientific computing. He currently trades at Akuna Capital, applying advanced quantitative methods to capture market signals, after previously contributing to Huawei's ML R&D and early career in FICC trading at Commerzbank. His academic foundation is complemented by a Mathematics degree with Hongyi Honor from Wuhan University, providing a deep base in theory and numerical methods. Based in the UK, he brings nine years of experience across academia and fintech, translating cutting-edge research into scalable trading strategies. He embodies a rare combination of research depth and market pragmatism, continually seeking synergies between statistics, deep learning, and real-time decision making.
10 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree, Mathematics with Hongyi Honor, Bachelor’s Degree, Mathematics with Hongyi Honor at Wuhan University
University College London
Chinese, English