Summary
Sagun Pai is a quantitative researcher with 10 years of experience building and automating investment strategies across asset classes at Mathisys Advisors after starting his career on Deutsche Bank’s Rates & FX exotics desk. He combines an IIT Bombay dual degree in Electrical Engineering with minors in Computer Science and Operations Research to tackle pricing, risk monitoring and trading automation problems using ML and engineering tools. At Deutsche Bank he implemented live P&L and risk-monitoring frameworks and prototyped FX prediction-driven long-short strategies using ANN, SVM and random forests. Earlier internships and research roles at Citi, Deloitte and IRIT sharpened his skills in big-data pipelines, model calibration and query-prediction research. He also led data journalism efforts at IITB, launching a datablog that tripled visualizations and reached national media, showing an unusual blend of technical rigor and storytelling. Based in Mumbai, he seeks diverse, real-world challenges where quantitative models translate into practical societal impact.
10 years of coding experience
1 year of employment as a software developer
Indian Institute of Technology Bombay
Maharashtra State Board (SSC), Maharashtra State Board (SSC) at Madhavrao Bhagwat High School (MBHS), Vile Parle, Mumbai
Maharashtra State Higher Secondary School Certificate (HSC), Maharashtra State Higher Secondary School Certificate (HSC) at Sathaye College, Vile Parle, Mumbai