Quant Roles That Do Not Require a Finance Background

Several quant research, trading, and development roles hire on mathematics and programming skill alone and teach finance on the job.

Several quant roles hire primarily on mathematics, statistics, computer science, or physics training and treat finance knowledge as something learned on the job, which is why physics and pure mathematics PhDs make up a substantial share of new hires at firms such as Two Sigma, DE Shaw, and Jane Street despite having no formal finance coursework. The technical bar for these roles is set on problem-solving ability and programming skill, not on prior exposure to markets.

Quantitative research and quantitative trading roles at proprietary trading firms and systematic hedge funds are the clearest examples: interviews test probability, statistics, mental arithmetic, and general problem-solving far more than finance terminology, and firms expect to teach the market-specific knowledge during a structured training period after hiring. The interview question bank reflects this weighting directly, with a large share of questions covering probability and quantitative reasoning rather than finance definitions.

A candidate with a strong mathematics, statistics, physics, or computer science degree and no finance background can prepare effectively by working through problem sets covering probability and quantitative reasoning alongside a focused read of how markets actually function, since the interview will test whether that foundational reasoning is fast and accurate rather than whether the candidate has memorized financial terminology in advance.

Quantitative developer roles hire almost entirely on software engineering ability: data structures, systems design, and language-specific depth in C++ or Python, described fully in what a quantitative developer does all day. A candidate coming from a general software engineering background at a technology company can move into this role with comparatively little friction, since the core skill transfers directly and the finance-specific knowledge needed is narrower than for a trading or research seat.

Firms in this category, including Hudson River Trading, Jump Trading, and XTX Markets, actively recruit from computer science programs and from technology companies specifically because the engineering bar is the primary filter, and finance knowledge is treated as something to build over the first several months.