© 2020 Strange Loop
Trading in financial markets is a data-driven affair, and as such, it requires applications that can efficiently filter, transform and present data to users in real time.
But there's a difficult problem at the heart of building such applications: finding a way of expressing the necessary transformations of the data in a way that is simultaneously easy to understand and efficient to execute over large streams of data.
Yaron Minsky got his BA in Mathematics from Princeton and his PhD in Computer Science from Cornell, where he studied distributed systems. He joined Jane Street in 2003, where he started out developing quantitative trading strategies, going on to found the firm's quantitative research group. He introduced OCaml to the company and managed the transition to using OCaml for all of its core infrastructure, turning Jane Street into the world's largest industrial user of the language. In the meantime, he's been involved in many different aspects of Jane Street's technology stack, including trading and risk systems, developer tools, and user-interface toolkits. Yaron has lectured, blogged and written about programming for years, with articles published in Communications of the ACM and the Journal of Functional Programming, and is co-author of the book Real World OCaml.