Quantitative Trader
Quantitative traders build the models and code that decide when a firm buys and sells financial instruments, turning patterns in market data into automated trades.
- Median salary*
- $148,200
4.5%vs last year, before tax
- People employed*
- 2,100
0.0%vs last year
- Projected growth*
- +6.2%
to 2035
- AI exposure*
- High
- automation risk
- Average hours*
- 45/wk
+5h vs all jobs
- Shortage status*
- Not in shortage
national
Quantitative traders work on the trading desks of investment banks, hedge funds and proprietary trading firms, building the models and code that generate live trades rather than staying purely in research. The role differs from that of a quantitative analyst, who builds and validates pricing models but usually does not carry trading risk directly. Most work in small teams alongside developers and risk staff, watching markets closely and adjusting strategies as conditions change.
How much do quantitative traders earn?
The median full-time salary for a quantitative trader is $148,200 per annum, before tax, up $31,500 since 2018.
Base salary is only part of the picture. Bonuses are tied to the profit of the desk or the strategy, so a strong year can lift total pay well above the base while a poor one cuts it back sharply. Hedge funds and proprietary trading firms weight pay more heavily towards performance than investment banks do, and the firm and asset class matter more to your earnings than the city you work in.
What does a quantitative trader do day to day?
The list below is what fills most weeks; the exact mix shifts with seniority and whatever stage the current work is at.
- Building and backtesting trading models against years of historical price data
- Searching price, volume and order-book data for signals and testing whether they hold up out of sample
- Watching live positions through the session and switching strategies off when markets move against them
- Working with developers to get strategies into production code that runs fast and reliably
- Reviewing position sizes, risk limits and drawdowns with the desk head or risk team
What skills do quantitative traders need?
Employers look for financial analysis and modelling, data analysis, statistical modelling, backed by Python fluency and strong problem solving.
Specialist skills
- Financial analysis and modelling
- Data analysis
- Statistical modelling
- Machine learning
- Programming and software development
- Risk and internal controls
Software and tools
- Python
- C++
- Bloomberg Terminal
- MATLAB
- Git
General skills
- Problem solving
Is the job growing?
About 2,100 people work as quantitative traders in Australia, and employment is projected to grow 6.2% over the decade to 2035. That's modest growth: demand is steady rather than booming.
How do you become a quantitative trader?
Here's the path most quantitative traders take, step by step.
- 1Earn a quantitative degree
Mathematics, statistics, physics, computer science and engineering are the usual degrees, and the most common qualification among people in the role is a Bachelor degree, held by 52% of them. Probability, statistics and programming subjects matter more than finance electives, because that is what interviews test.
- 2Build proof you can code and model
Firms care more about demonstrable skill than a finance background, so personal projects, programming competitions, open-source work or a research paper in Python, C++ or R carry real weight with graduate recruiters.
- 3Add honours or a master's for research desks
Research-heavy teams at hedge funds often prefer an honours year or a master's, and a PhD in mathematics or physics is common on the most quantitative desks. This step takes a year or more of full-time study and mainly opens the research side of the role.
- 4Apply for internships and graduate programs
Banks, hedge funds and proprietary trading firms recruit most of their traders through summer internships that convert into graduate offers, and applications typically open a year ahead. Online tests cover probability, statistics, mental arithmetic and coding.
- 5Start on a desk with a risk limit
New traders begin with a small limit and close oversight, and most firms run their own training in market structure, pricing and internal systems before handing over a live seat. Pay at this stage is a fixed salary plus a modest bonus.
Ready to apply as a quantitative trader?
Whether you're working toward becoming a quantitative trader or already are one and want a hand with the next step (sharpening your resume for ATS screening, tightening your cover letter, or knowing what you'll actually be asked at interview), here are examples grounded in this specific role, not generic templates.
What jobs can a quantitative trader move to?
None of the roles quantitative traders typically move into pay more than the role itself. Quantitative Analyst is the closest match. If a bigger salary is the goal, moving up into a senior or principal position within the role is usually the faster route than moving sideways.
| Move to | Typical pay change | Overlap | Retraining |
|---|---|---|---|
| Quantitative Analyst The quantitative trader brings live market intuition and model execution to quantitative analysis, where the same statistical and programming skills apply without trading pressure. | +$0 | 100% | minimal |
| Derivatives Trader A quantitative trader brings derivatives pricing, risk and automated execution to a derivatives trading desk, with product-specific accreditation needed. | −$10,300 | 57% | short course |
| Equities Trader A quantitative trader brings trading discipline and quantitative market analysis to equities dealing, though product knowledge and market conduct training are required. | −$10,300 | 48% | short course |
| Foreign Exchange Dealer A quantitative trader brings macro and statistical modelling to currency dealing, but the role needs fresh market, client and regulatory knowledge. | −$10,300 | 42% | reskill |
| Machine Learning Engineer A quantitative trader brings programming and statistical modelling to machine learning engineering, where deeper software engineering and deployment skills are needed. | −$20,800 | 50% | short course |
Moves are chosen from Jobs and Skills Australia's Data on Occupation Mobility, which follows income tax records between 2011-12 and 2020-21, together with entry requirements and skill overlap. A known move is one people were seen making in that data. Pay change compares median full-time pay for the two roles.
Who works as a quantitative trader?
The typical quantitative trader is 34 years old; 82% are men, 96% work full-time, and full-timers average 45 hours a week.
- 34
- Median age
- 18%
- Female share
- 96%
- Full-time
- +5h
- vs all-jobs avg
What's it like being a quantitative trader?
The day is shaped by the market: research and coding before the open, then close attention to live positions until the session closes. Much of the work is closer to applied research than to a dealing room, and it suits someone who likes hard statistical problems with a fast, unambiguous answer. Profit and loss is visible every day, which is a large part of the job's appeal and its difficulty.
What people like
- Your ideas trade for real. A signal you research in the morning can be running on live markets within days, and the profit or loss tells you fairly quickly whether the idea holds up.
- Pay tracks output rather than tenure. Bonuses follow the performance of the strategies you run, so a productive few years can move your earnings faster than progression in most other finance roles.
- The teams are small and flat. A desk is usually a handful of traders, developers and researchers, so decisions get made quickly and your contribution is visible to the people who set your pay.
- The problems are genuinely hard. Most of the work is statistics, optimisation and software design, and the feedback on whether you got it right arrives as a number rather than an opinion.
What people find hard
- A profitable strategy can stop working. Markets adapt to whatever is making money, so a signal that earned well for a year can fade over a month and you have to work out whether it is noise or decay.
- Losses are immediate and public. A bad run shows up on the desk's screens in real time, and firms that pay for performance also cut underperforming traders quickly rather than after a long review.
- Long hours around market hours. Full-time quantitative traders average 45 hours a week, and the day starts well before the market opens. Research and coding often spill into the evening.
- The career can be short. Trading seats are often held for a decade or less, and the skills carry across more easily into quantitative research, data science or technology than into other parts of finance.
Based on our synthesis of professional-body surveys and public accounts of the role, not first-person verified reviews.
Which industries employ quantitative traders?
Financial and Insurance Services employs the largest share of quantitative traders, followed by Professional, Scientific and Technical Services.
Top employing industries
- 1Financial and Insurance Services
- 2Professional, Scientific and Technical Services
- 3Administrative and Support Services
Ranked by employment share; the source doesn't publish an exact percentage per industry.
| Bachelor degree | 52% | |
|---|---|---|
| Postgraduate | 26% | |
| Diploma / Advanced Diploma | 13% | |
| Other | 9% |
Will AI replace quantitative traders?
Quantitative trading is one of the more heavily automated jobs in finance: models rather than people place most trades, and machine learning is used to search for signals across large data sets. That automation changes the work instead of removing it, because markets shift and strategies decay. What stays with the trader is deciding which strategies to run, how much risk they carry and when to switch one off, and much of that work is now done with AI tools rather than without them.
Share of typical working time by exposure level
- Testing whether a signal predicts future pricesMachine learning tools can screen thousands of candidate features and backtest them in minutes, though a person still decides which results are worth believing.30%high
- Writing and optimising production trading codeCoding assistants draft and refactor large parts of the codebase, but latency, exchange connectivity and correct behaviour on live positions keep a human reviewing the changes.25%high
- Watching the market and managing live positionsExecution is largely automated, so the trader's job during the session is checking that fills, hedges and limits are behaving as expected and stepping in when they are not.25%moderate
- Setting risk limits and deciding when to stop a strategyCutting a strategy means weighing the current drawdown against the chance it recovers, and firms keep that call with the trader and the risk desk rather than a model.20%low
Common questions about becoming a quantitative trader
Straight answers to the questions people ask most.
How much do quantitative traders earn?
Quantitative traders earn a median of $148,200 per annum, before tax, and bonuses move total pay a long way in either direction from that base. Two people on the same desk can be paid very differently in the same year.
How do you become a quantitative trader?
Most entrants complete a bachelor degree in mathematics, statistics, physics, computer science or engineering and then apply for an internship or graduate program at a bank, hedge fund or proprietary trading firm. Interviews test probability, statistics, mental arithmetic and coding rather than market knowledge, and a master's or PhD helps for research-heavy desks.
Are quantitative traders in demand in Australia?
Quantitative traders are currently not in shortage, and employment is projected to grow 6.2% over the decade to 2035. The workforce is small, at about 2,100 people, so most hiring happens through graduate and internship intakes at a handful of firms rather than steadily through the year.
Will AI replace quantitative traders?
AI and automation are already central to this job, and the exposure is high, because most execution and much of the signal search is done by software. What remains with the trader is choosing which strategies to run, how much risk they carry and when to shut one down, and that judgement is what firms pay for.
What can quantitative traders move into?
Moving into quantitative analysis is straightforward because the modelling, coding and market data work overlaps almost entirely, and it usually needs no retraining. Statisticians and mathematicians also cross into trading desks, and quantitative traders typically earn $41,600 more than statisticians. Some experienced traders go on to set up their own systematic fund or trading business, which is often where earnings grow.
How many hours do quantitative traders work?
Full-time quantitative traders average 45 hours a week, and the trading session itself is fixed by market hours. The rest goes on research, coding and reviewing positions, which can be done outside market hours but rarely stays inside a standard day.
Related roles
- Quantitative Analyst
- Derivatives Trader
- Equities Trader
- Foreign Exchange Dealer
- Machine Learning Engineer
- Quantitative Analyst
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