Summary
Ish Handa is a data scientist and AVP with nine years' experience building streaming analytics and quant systems for global banks, currently leading data science efforts in Equity Electronic Trading at BNP Paribas CIB. He has architected and developed a global equity data streaming platform using KDB+/Q through a major cross-bank transition from Deutsche Bank, combining low-latency engineering with quantitative research instincts. Comfortable across Python, data engineering and applied quant research, he progressed rapidly through graduate quant rotations into leadership roles. A University of Hong Kong computer science graduate based in the UK, he blends production-grade analytics with hands-on system design—often operating where trading quant models meet operational streaming infrastructure.
9 years of coding experience
5 years of employment as a software developer
The University of Hong Kong (HKU)
High School, Mathematics and Sciences along with Computer Science and Health Education, High School, Mathematics and Sciences along with Computer Science and Health Education at Delhi Public School - Vasant Kunj
English, Hindi, French