Amit Jain is a Director of Business Intelligence based in New Jersey with a strong blend of quantitative finance expertise and hands-on engineering across q/kdb, Java, Scala, R, Python, and big data streams. He leverages a MS in Mathematical Finance and over a decade of experience in electronic market making, risk modeling, and performance attribution from roles at Citi, Goldman Sachs, and BGC Partners. Amit designs and implements low-latency analytics and streaming architectures (Spark Streaming, Kafka, ELK) that translate stochastic finance models and microstructure insights into production risk and trading tools. He pairs deep theoretical knowledge—stochastic calculus and zero-arbitrage pricing—with practical VaR and portfolio attribution implementations. Though primarily finance-focused, he also pursues intensive frontend web development learning, reflecting a broader curiosity across the stack. Known for bridging quant research and production engineering, he excels at turning complex mathematical models into scalable, operational systems.
4 years of coding experience
12 years of employment as a software developer
BE, Engineering, BE, Engineering at Jai Narain Vyas University
MS, Mathematical Finance, MS, Mathematical Finance at Rutgers, The State University of New Jersey-New Brunswick
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Amit Jain - Director, Business Intelligence at BGC Partners