Summary
Imran Shakir is a Quantitative Technology Director with 11 years’ experience building production-grade trading and data platforms for hedge funds, combining a first-class Mathematics degree from Cambridge with deep hands-on software engineering. He has led the transfer and integration of IP between firms, founded and scaled Chorus teams into Qube Research, and currently directs the development of signal and machine-learning platforms used for live trading. Imran’s background spans low-latency data systems, cloud and HPC orchestration (Slurm, S3, CloudWatch), and end-to-end ML equity-alpha ecosystems, giving him rare fluency from research prototypes through to daily decision systems. Comfortable both managing senior teams and contributing core libraries, he has a track record of improving firm scalability and accelerating researcher onboarding across global operations. Based in Hong Kong, he brings a mix of rigorous quantitative training and practical production experience that consistently turns research into deployable, risk-aware strategies.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Arts (B.A.) Mathematics, Bachelor of Arts (B.A.) Mathematics at University of Cambridge
Edgbarrow
English