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1:25:00EN
JSJane Street· Sep 2, 2026Eric Mannes on Turning Messy External Data Into Trading ResearchRon, Eric Mannes · Jane StreetFrom commodity futures and an Excel risk system to point-in-time datasets and AI, Eric Mannes explains the domain knowledge behind data engineering at Jane Street.Data quality & curationDeveloper workflows & testingInvesting+2
3:11EN
JSJane Street· May 31, 2024Alok on Quantitative Research at Jane StreetAlok · Jane StreetA researcher describes projects, useful mathematical background and how candidates can prepare for interviews.CareersCompany CultureInvesting
3:23EN
JSJane Street· Jun 8, 2023Nitya on Training and Working as a Quantitative Trader at Jane StreetNitya · Jane StreetA trader on the New York international ETF desk describes the skills, training and collaboration involved in her work.CareersInvestingMathematics
3:44EN
JSJane Street· May 10, 2023Alistair on Trading and Learning at Jane StreetAlistair · Jane StreetA London trader describes the skills, training, and daily routines behind his work at Jane Street.CareersCompany CultureInvesting
1:02:18EN
JSJane Street· Sep 23, 2020Brian Nigito on Multicast and the Architecture of MarketsRon Minsky, Brian Nigito · Jane StreetWhy exchanges use ordered event streams, multicast and specialized networking to distribute market data quickly and fairly.Infrastructure & deploymentSoftware engineeringInvesting
3 slides1:12:41EN
JSJane Street· Mar 31, 2016Ron Minsky on Trading, Correctness and Jane Street’s Shift to OCamlYaron Minsky · Jane StreetA Jane Street technologist explains the market-making business and why readability, types and predictable performance shaped the firm’s choice of OCaml.Programming LanguagesSoftware engineeringInvesting