Quant trading vs quant research: which should you apply for?

What does a quant trader do all day?

A quant trader runs a live strategy. At a prop shop that often means market making: quoting prices, managing inventory, deciding when to lean in and when to step back, and adjusting parameters as conditions change. Models and automation do most of the execution. The trader decides how much risk to take and when the model is wrong.

The feedback is immediate. You see your P&L through the day, you talk through trades with the desk, and you explain your decisions after the close. It suits people who make good decisions with incomplete information and do not freeze when they are wrong.

• Watch and adjust live strategies during market hours.
• Size risk and decide when to pull back.
• Work with researchers and developers to fix what is not working.
• Review the day's trades and what the model missed.

What does a quant researcher do all day?

A quant researcher looks for patterns in data that predict prices, then proves the pattern is real and not noise. Most of the day is cleaning data, writing code, running backtests, and arguing with colleagues about whether a result will hold up out of sample.

The feedback is slow. A single idea can take weeks or months, and most ideas fail. It suits people who like statistics and machine learning, who enjoy one hard problem for a long time, and who would rather be right than fast.

• Find and clean new data sources.
• Build and backtest signals in Python or a similar language.
• Check results for overfitting and look-ahead bias.
• Hand working signals to trading and engineering for production.

How are the interviews different?

Both start with probability and expected value, and both usually begin with an online assessment. After that they split. Trader interviews push speed and judgment under pressure. Researcher interviews push depth in statistics and code, and can include a take-home or a discussion of a project you built.

Check the posting for the exact role. A firm's trader, researcher, and developer internships are separate applications with separate processes, so prepare for the one you click.

• Trader: mental math, betting and market making games, quick probability, how you update on new information.
• Researcher: statistics, linear algebra, probability proofs, coding problems, sometimes machine learning basics.
• Both: expected value, brainteasers, and why you want this seat rather than the other one.

Which quant programs are open right now?

The table below is read from each firm's own careers site. Open means we saw the live posting there, Expected means last cycle's public record says it is coming, and No data yet means neither is true. Quant titles usually leave out the year, so a posting seen in the fall is for next summer.

How do you pick between them as an undergrad?

Use your own track record as the tiebreak. If you light up in timed contests, poker, or trading games, start with trader roles. If your best work is a research project, a long problem set, or a model you tuned for weeks, start with researcher roles. Many students apply to both at different firms in the same fall.

1. Play a few market making games and do a week of timed probability problems. Notice which part you enjoy.
2. Look at what you have built: a research project or a strong statistics course points to research.
3. Read the posting language. Some firms ask for researchers with graduate study in mind, so check who they want.
4. Apply to the role that fits at each firm, and track each one separately on the calendar.

Questions students ask

Do you need a PhD for quant research?

Not for an internship at most firms that run undergraduate research programs, but full-time research seats lean toward graduate degrees more than trading does. Read each posting's requirements.

Is quant trading more stressful than research?

It is more intense in the moment, because the feedback is live. Research stress is slower: long stretches where nothing works. Pick the kind you handle better.

Can you switch from trading to research later?

Some people do, in both directions, especially at firms where the roles sit close together. It is easier early, while your skills still overlap.

Which pays more?

We do not publish pay figures. Both are among the best-paid junior seats in finance, and the answer varies by firm and by year.

What about quant developer roles?

Developers build the trading systems and research tools. It is the right seat if you love engineering and want markets as the context, and its interviews look more like software interviews.