Akuna Capital-posted 5 months ago
Full-time • Entry Level
Chicago, IL

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. Akuna’s Quant team creates trading strategies scientifically by combining its quantitative expertise with sophisticated understanding of derivatives and financial markets. The team is looking to add both Junior Quant Developers and Junior Quant Strategists who will make a direct and measurable impact on our trading decisions and performance. We are searching for creative thinkers with strong programming backgrounds who can convert ideas into trading solutions, tighten our innovation cycle through rapid prototyping of performant production code, and have the desire to develop a deep understanding of financial markets. No prior experience with financial markets is required.

  • Design and develop production code of trading strategies: pricing models, execution logic and performance optimization along with researchers, traders, and system engineers.
  • Analyze and incorporate market signals in our trading systems.
  • Advance existing codebase and propose new solutions and improvements.
  • Bachelors, masters, or PhD degree in a technical field – Engineering, Computer Science, Math, Physics (or related subject) must be completed upon employment.
  • Strong Python programming background.
  • Experience in object-oriented programming.
  • Exposure to linear algebra and introductory statistics.
  • Desire and ability to learn the intricacies of financial markets.
  • Must be graduating August 2026 or prior.
  • GPA of 3.5 or above.
  • Legal authorization to work in the U.S. is required on the first day of employment including F-1 students using OPT or STEM.
  • Experience with generic and/or parallel programming.
  • 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.
  • Exposure to financial markets and trading.
  • Discretionary performance bonus as part of the total compensation package.
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