My client is amarket-leading proprietary trading and market making firmthat is continuing to expand its quantitative trading capabilities across APAC.
As part of this growth, the firm is looking to hire an experiencedSystematic Equities Quantitative Researcherto help build and develop its systematic cash equities business.
This is an opportunity to join a highly successful global trading firm while taking on significantly greaterautonomy, ownership and end-to-end responsibilityfor research and strategy development.
You will work across the full quantitative research and trading pipeline, with the prospect to take ideas from initial research through to implementation and live trading.
Responsibilities will include:
Conducting quantitative research to identify and develop systematic trading opportunities in cash equities.
Generating, testing and refining alpha signals and predictive models.
Designing and running robust backtests and evaluating strategy performance.
Developing and optimising trading strategies for live deployment.
Working closely with traders, researchers and engineers to improve execution and overall strategy performance.
Exploring and applying machine learning techniques where appropriate to enhance research and modelling capabilities.
The ideal candidate will have:
4+ years of experiencein quantitative research or systematic trading.




A strong background inHFT or MFT systematic cash equities strategies.
Experience working at a leading hedge fund, proprietary trading firm, market maker or other top-tier buy-side trading environment.
Demonstrable experience taking research ideas through the full lifecycle, from data analysis and signal generation through to backtesting, implementation and live trading.
Strong programming skills, ideally inPython, with additional experience in C++ or other languages beneficial.
A strong academic background, ideally from a leading university in a quantitative discipline such as Mathematics, Statistics, Computer Science, Physics, Engineering or a related field.
Experience withmachine learningtechniques would be highly advantageous.
You will benefit from:
Greater autonomyand influence over your research and strategy development.
End-to-end ownership, with the ability to take ideas from initial concept through to live trading.
The opportunity to build and own strategies rather than focusing on a narrow part of the research pipeline.
A highlycollaborative environment, working alongside experienced researchers, traders and technologists.
Access to amarket-leading trading and technology platform.
The opportunity to join a rapidly expanding APAC business with significant scope for growth and long-term impact.
#J-*****-Ljbffr

📌 Systematic Equities Quantitative Researcher (New South Wales)
🏢 Anson McCade
📍 New South Wales