Jane Street

Speed, probability and low-latency C++ under exchange constraints.

Proprietary trading 3 mapped rolesTrack CTrack D

Full posting not imported — mapping inferred from track data.

Mapped roles

3 roles

Quantitative Trading

ExperiencedTrack C

Listed as an official discipline on the Join Jane Street interviewing page; the firm says it will not test finance or economics knowledge in these interviews.

C++Low latencyConcurrencyCPU architectureNetworking

Software Engineer (Technology)

ExperiencedTrack C

Official discipline; the interviewing page says candidates work through coding challenges and should be comfortable with their own setup and tools.

C++Low latencyConcurrencyCPU architectureNetworking

Quantitative Research / Machine Learning

ExperiencedTrack D

Official disciplines; research interviews are described as a mix of trading and software-engineering interviews, and ML interviews work on realistic modeling problems.

PythonStatisticsML foundationsResearch pipelinesTime series

Published expectations & research notes

6 notes

Interviews focus on collaborative problem solving: 'asking great questions is more important than knowing all the answers', and the firm considers applicants for every open role, not just the one applied to.
Sourcedretrieved 2026-11-09www.janestreet.com
Quantitative Trading interviews will not test knowledge of finance or economics; they assess how you work with others to solve problems.
Sourcedretrieved 2026-11-09www.janestreet.com
Jane Street publishes a Probability & Markets Guide (PDF) covering core concepts that may be encountered in trading interviews.
Sourcedretrieved 2026-11-09www.janestreet.com
Technology candidates work through coding challenges during interviews and should be comfortable with their own tools of choice.
Sourcedretrieved 2026-11-09www.janestreet.com
Machine Learning candidates interview on realistic modeling problems of the kind the team does daily, at market scale.
Sourcedretrieved 2026-11-09www.janestreet.com
FAQ: no GPA or degree requirement, no cover letter required, no finance background needed, and applicants from many universities and concentrations are interviewed.
Sourcedretrieved 2026-11-09www.janestreet.com

Competency areas

probability
mental math
dsa
cpp
python
markets
machine learning
systems design
software engineering

Preparation assessments

Quantitative Aptitude Assessment15q · 25m C++ Knowledge Assessment12q · 30m Probability Assessment12q · 30m

Relevant curriculum modules

5 modules

Probability BrainteasersDice, cards, expected value, Monty Hall, optimal stopping and gambler's ruin.

ProbabilityFrom counting to conditional probability, Bayes' theorem, expectation and the central limit theorem.

Market FundamentalsExchanges, order types, bid-ask spreads, liquidity and execution.

Core Data StructuresArrays to Fenwick trees: the structures every quant engineer must own.

Level 4 — The Standard Template LibraryContainers, iterators, algorithms and their complexity and memory characteristics.

See how these roles map to your learning path

Every track above is backed by a phase-by-phase curriculum with lessons, drills and assessments.

Open curriculum