Akuna Capital

Akuna Capital

Junior Quantitative Developer & Strategist

Chicago, IL · Junior

Sponsorship not specifiedDetected 8 days ago
PythonReactObject-Oriented ProgrammingMachine LearningStatisticsSignal ProcessingCollaboration

About the role

  • About Akuna: Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions and automation.
  • 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.

Requirements

  • No prior experience with financial markets is required.
  • Bachelors, masters, or PhD degree in a technical field - Engineering, Computer Science, Math, Physics (or related subject) must be completed upon employment
  • Experience in object-oriented programming
  • Desire and ability to learn the intricacies of financial markets
  • Must be graduating August 2027 or prior
  • 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
  • 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

Skills

  • 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.
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Compensation

  • In accordance with Illinois Equal Pay Act, the minimum base salary starts at $145,000.
  • The minimum base salary herein was determined in good faith by Akuna Capital LLC.

Visa & Work Authorization

  • Legal authorization to work in the U.S. is required on the first day of employment including F-1 students using OPT or STEM

This listing is sourced directly from Akuna Capital's careers page and normalized into a canonical job model.