The four quant roles
The word 'quant' is used loosely, which causes real confusion for people entering the industry. In practice it describes four separate careers with different skills, different day-to-day work and different compensation structures.
- —Quant researcher — forms and tests hypotheses about market behaviour, and turns the survivors into trading signals. Closest to empirical science.
- —Quant trader — runs risk on those signals: sizing, execution, and judgement when live conditions diverge from the model.
- —Quant developer — builds the research infrastructure, data pipelines and production systems everything else depends on.
- —Quant analyst — prices instruments and models risk, usually on the sell side or in a risk function. The most common entry point.
Where quants work
Quantitative talent concentrates in a small number of firm types: proprietary trading firms and market makers that trade their own capital, systematic hedge funds that manage outside money, multi-strategy platforms that allocate capital to independent teams, and the trading and risk functions of investment banks.
Geographically the market is more concentrated still. New York, London and Chicago dominate, with Singapore, Hong Kong and Amsterdam forming a strong second tier and Dubai growing faster than any other market.
What the work actually involves
Most quantitative work is not the trading-floor image people expect. A researcher's week is largely reading, hypothesis design, data cleaning and running experiments that mostly fail. A developer's week resembles high-performance software engineering with unusually direct feedback on whether the work made money.
The common thread is measurability. Almost every quantitative role has a clearer link between contribution and outcome than equivalent roles elsewhere in finance — which is why compensation is both high and highly variable.