Quantitative Developer
Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Oct 29, 2026. Akuna Capital scores A on the Alion truth index.
About Akuna
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, including Andrew Killion, 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 Shanghai, Sydney, Singapore and London.
What you’ll do as a Quantitative Developer on the Quant Trading & Research team at Akuna:
Akuna’s Quantitative Trading and Research team creates trading strategies scientifically by combining its quantitative expertise with sophisticated understanding of derivatives and financial markets. The team is looking to add Quantitative Developers who will work alongside researchers, traders, and system engineers to develop software that incorporates vast amounts of data to drive sophisticated strategies, capturing market opportunities before our competition.
The successful candidate will have a strong programming background to produce trading solutions and high-performance production code. In this role you will:
- Design and develop production code of trading strategies: pricing models, execution logic and performance optimization
- Develop and improve data and research pipeline
- Advance existing codebase and propose new solutions and improvements
Requirements for this role:
- 3+ years of experience developing performant, scalable applications in modern C++
- BS/MS/PhD degree in Computer Science, Engineering, Math, or equivalent
- Experience using data to drive decision-making
- Desire and ability to learn the intricacies of financial markets
- Willing to prepare and take English technical interviews
Qualities that make great candidates:
- Solid understanding of multi-threaded/multi-core programming paradigms
- Experience with high frequency trading system
- Deeper understanding of any of the following fields: Linear Algebra, Numerical Methods, Statistics, Optimization, Signal Processing, Computer Architecture, Machine Learning, Heterogeneous/High Performance computing
- The ability to react quickly and accurately to rapidly changing market conditions, including the ability to quickly and accurately respond and/or solve math and coding problems are essential functions of the role
- Passion towards financial markets and trading