Home Quantitative Trader Resume template
Quantitative Trader resume template
A clean starting structure with example content grounded in what quantitative traders actually do day to day, not generic filler. Download and replace the bracketed placeholders with your own details.
Which resume format should you use?
Reverse chronological
You have a steady work history. This is the format almost every recruiter and ATS expects by default.
Functional
You're changing fields or have gaps in your employment. Leads with skills rather than a job-by-job timeline.
Combination
You're early career or have worked consistently but for only a few employers. Blends a skills summary with a shorter chronological history.
This template uses the reverse chronological format: the one most quantitative traders should default to, since most Australian recruiters and ATS software expect it.
Professional summary
Quantitative trader who builds, tests and runs the models that turn statistical patterns in market data into live trades. Comfortable moving between research notebooks and a production execution stack, and accountable for the risk the strategy carries once it is switched on. Works closely with developers and risk staff on a desk where market conditions change faster than any model documentation.
Key skills
- Financial analysis and modelling
- Statistical modelling and signal research
- Data analysis of tick, order book and reference data
- Machine learning for feature generation and regime detection
- Python for research and backtesting
- C++ for low-latency execution components
- MATLAB for prototyping and numerical work
- Bloomberg Terminal for market data and instrument lookup
- Git for version control of strategy code and research
- Value at risk and portfolio stress testing
- Programming and software development
- Risk and internal controls
- Problem solving under live market pressure
Experience: example bullet points
- Built and backtested algorithmic trading models in Python against historical tick and order book data, refining entry and exit rules and discarding signals that did not survive realistic transaction costs.
- Analysed price patterns and correlations across equities, futures and FX to identify trading signals, and documented which ones held up out of sample before they were promoted to the live book.
- Monitored live trading systems during market hours, adjusting parameters in response to volatility and liquidity changes so strategies stayed inside their agreed risk limits.
- Worked with developers to move research strategies into a low-latency C++ execution stack, reducing slippage on larger orders and cutting the gap between signal and fill.
- Stress tested portfolios and calculated value at risk across multiple asset classes, and presented a daily risk summary to the desk head ahead of the morning meeting.
- Reviewed execution logs after an unexpected drawdown and traced the cause to a stale volatility input, then added a data freshness check to the pre-trade process.
Education
Bachelor degree in mathematics, statistics, physics, computer science or engineering, often with an honours year or a postgraduate qualification in quantitative finance or financial mathematics, and increasingly with the CFA program or a similar industry credential alongside it.
Keywords an ATS is likely to scan for
Applicant tracking systems match your resume against terms in the job ad before a person ever sees it. Only include the ones that actually apply to your experience, but if a term below matches something you've done, use the same wording the job ad uses.
- quantitative trading
- algorithmic trading
- backtesting
- signal research
- market microstructure
- low latency
- Python
- C++
- MATLAB
- Bloomberg Terminal
- Git
- value at risk
- stress testing
- ASIC
- market integrity rules
- ASX
- AFS licence
- RG 146
- APRA
- CFA
- FINSIA
- derivatives
- portfolio risk
- statistical modelling
- machine learning
Getting past ATS screening
- Match the specific skills, certifications and terms used in the job ad, not just your own wording for the same thing.
- Keep formatting simple: no tables, text boxes, columns, headers/footers or graphics. Parsers frequently drop content placed in these.
- Submit as .docx or PDF unless the job ad specifies otherwise.
- Use standard section headings (Experience, Education, Skills) rather than creative alternatives.
- List your core skills and technical competencies in their own section so a keyword scan can find them instantly.
This is a starting point, not a guarantee of interviews. Tailor every bullet point to your own real experience and the specific job ad.