Quantitative Researcher

17 hours ago

Sydney, New South Wales, Australia Akuna Capital Full time

Overview
Join to apply for theQuantitative Researcherrole atAkuna Capital
Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions and automation.
We specialise in providing liquidity as an options market maker – meaning we are committed to providing competitive quotes that we are willing to both buy and sell.
To do this successfully we design and implement our own low latency technologies, trading strategies and mathematical models.
At Akuna we have a flat structure, where the best idea wins.
Our Founding Partners opened the firm's first office in 2011 in Chicago and Akuna now operates from additional offices in Sydney, Shanghai, Singapore and London.
What you'll do as a Quantitative Researcher at Akuna
Akuna's Quantitative Trading and Research team is looking to add Quant Researchers to a team of mathematicians, statisticians and technologists.
This team creates trading strategies scientifically by combining its quantitative expertise with a sophisticated understanding of derivatives and financial markets.
We are looking for talented researchers who can apply and develop machine learning algorithms to contribute to Akuna's strategy portfolio.
In this role, you will:
Develop trading strategies using statistical and machine learning algorithms
Help identify, design, backtest and optimize low latency strategies using big data
Build metrics to evaluate strategy execution and perform post trade analysis
Design and implement optimization algorithms for portfolio construction
Develop quantitative models describing market behavior
Advance existing initiatives and explore opportunities for new research topics
Requirements
Strong professional work experience in statistics, machine learning, option trading or related area
Graduated before August 2025 with a BS/MS/PhD degree in a technical field – Engineering, Computer Science, Maths, Physics, or similar
Proven research background in academic or professional environment
Experience building mathematical models for complex real-world problems
Expertise in statistics
Programming skills in Python
Qualities that make great candidates
Collaboration, teamwork, and excellent communication skills
Strong drive to deliver meaningful results
Financial experience or knowledge of trading is a plus
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Finance and Sales
Capital Markets
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