Quant careers: the roles, the work and the way in

The main roles

Role	What they produce	Core skills	Where
Quant researcher	Tested ideas that predict returns or explain risk	Statistics, time series, machine learning, careful testing	Hedge funds, asset managers, trading firms
Quant trader	Live trading decisions and position sizes	Probability, quick estimation, risk control, markets	Trading firms, hedge funds, bank trading desks
Quant developer	The software that research and trading run on	Python and C++, data systems, performance	Everywhere quants work
Derivatives or pricing quant	Models that price options and structured products	Stochastic calculus, numerical methods	Banks, exchanges, software vendors
Risk quant and model validation	Measures of possible loss, and independent checks of other models	Statistics, risk measures, regulation	Banks, insurers, regulators

Quant researcher

Researchers spend most of their time with data. A typical week might be spent cleaning a new data set, testing whether it predicts anything, and then trying hard to break the result: different periods, different markets, realistic costs. Most ideas fail, and a good researcher is the one who finds out quickly and honestly.

The core skill is judgement about evidence. Knowing that a result with a Sharpe ratio of three over six months is weaker evidence than it looks matters more than knowing the newest model.

Quant trader

Traders turn research into positions. They decide how big each trade should be, watch costs and fills, and notice when a strategy starts behaving differently from its test. At market-making firms the job is closer to running a machine: setting the prices at which the firm will buy and sell, and managing the stock it ends up holding.

Firms hiring traders look for fast, calm reasoning about odds. That is why trading interviews lean on mental maths and betting games.

Quant developer

Developers build the systems: data pipelines, backtesting engines, pricing libraries and order routing. In high-frequency firms they work on code where a few microseconds decide whether a trade happens. It is the most common way in for strong software engineers, and many move closer to research over time.

Derivatives and pricing quants

These quants answer the question “what is this contract worth today, and how does that change when the market moves?” They work with option pricing models, volatility surfaces and numerical methods such as Monte Carlo simulation. This is where stochastic calculus earns its reputation.

Risk quants and model validation

Risk quants measure how much a firm could lose, with tools such as Value at Risk, Expected Shortfall and stress tests. Model validation teams check other people’s models independently before a bank may use them. Regulation requires both, so these roles exist in every large bank, and they suit people who like finding the flaw in an argument.

How hiring works

Graduate programmes at banks and large funds hire once a year, with applications often closing many months before the start date. Trading firms hire more continuously. Experienced hires mostly move through recruiters and referrals.

Across all of them, the process usually has three parts:

1. A screening test of probability, arithmetic and sometimes coding, taken online.
2. Technical interviews on statistics, probability puzzles, a coding problem and, for some roles, markets or pricing.
3. A project discussion. You are asked to explain something you built or tested, why you trust the result and what you would do differently. A small project you understand completely beats a large one you cannot defend.

Choosing your first target

Start from what you already have. Strong programmers usually aim first at quant developer roles. People strong in statistics aim at research. People who think fast about odds and enjoy pressure aim at trading. People with a careful, checking temperament do well in risk and validation.

The Institute’s study paths map onto these routes: the practitioner path for trading and portfolio roles, the researcher path for research and pricing, and the trader path for people who want to trade without programming. For the order to learn things in, read how to become a quant.