Summary
Arpan Mangal is an options-focused quantitative trader with 9 years of experience building and deploying algorithmic strategies across top proprietary trading firms, now based in Singapore. An IIT Delhi computer science graduate with internships at D.E. Shaw and NUS, he blends rigorous ML/time-series modeling and GPU-accelerated graph analytics with production trading systems. His background ranges from forecasting macro indicators and building trader-facing Python tools to visualizing urban-scale datasets and optimizing algorithms with CUDA. Comfortable both coding low-latency tooling and translating research into live strategies, he recently deepened his finance expertise through MIT Sloan’s MicroMasters in Finance. A practical technologist who has also led web and backend projects at IITD, he brings a rare mix of academic pedigree, hands-on engineering, and market-facing trading execution.
9 years of coding experience
2 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
MicroMasters Program in Finance, MicroMasters Program in Finance at MIT Sloan School of Management
High School PCM, High School PCM at Delhi Public School, Jodhpur
French, Hindi, English