About Akuna: Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions, and automation. We specialize 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. Our Founding Partners first conceptualized Akuna in their hometown of Sydney. They opened the firm’s first office in 2011 in the heart of the derivatives industry and the options capital of the world – Chicago. Today, Akuna is proud to operate from additional offices in Sydney, Shanghai, London, and Singapore . What you’ll do as a Quantitative Researcher at Akuna: Akuna’s Trading and Research teams are seeking Quant Researchers to join a multidisciplinary group of mathematicians, statisticians, technologists and traders. These teams drive the development of trading strategies and predictive models by combining quantitative rigor with deep expertise in 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 Drive improvements in predictive models through rigorous signal and feature research Design and optimize machine learning workflows to support scalable, efficient, and reproducible research Bring a results-driven mindset paired with strong collaboration and communication skills. Qualities that make great candidates: 3+ years of strong professional work experience in statistics, machine learning or related area BS/MS/PhD degree in a technical field – Engineering, Computer Science, Math, Physics, or similar Proven research background in academic or professional environment Programming experience in P