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Edgehog Trading

Proprietary trading firm for electronic options

Graduate Software Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeChicago, IL, USA

About the Job

Requirements

  • Be in the final year of study toward a Bachelor of Arts, Bachelor of Science, Master of Science, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
  • Have strong proficiency in C++ or a comparable systems language and solid computer science fundamentals, including data structures, algorithms, and concurrency.
  • Be comfortable working in a Linux environment.
  • Have strong debugging instincts and a bias toward measuring before optimizing.

Responsibilities

  • Complete a four-week onboarding program covering trading systems, options fundamentals, and low-latency engineering practices.
  • Design, implement, and optimize low-latency C++ applications used to execute trading strategies across CME, ICE, CBOE, and other exchanges.
  • Collaborate with traders, quants, and other engineers to translate trading ideas into robust, production-ready systems.
  • Maintain and improve existing trading tools and infrastructure, and build new tools and infrastructure from scratch.
  • Contribute to diagnostic assessments and data analysis to help prioritize the highest-impact work.
  • Work hands-on with proprietary quoting systems, models, and options-pricing infrastructure.
  • Gradually transition into production ownership with senior mentorship and ongoing support.

Desired Qualifications

  • Have familiarity with system-level programming.
  • Have experience using AI agents to automate tasks and workflows.

About the Company

Edgehog Trading

Proprietary trading firm for electronic options

Edgehog Trading is a proprietary trading firm that focuses on electronic option market making strategies. It runs algorithmic trading to post bids and offers in options markets, aiming to profit from small price differences while managing risk through automation and data-driven decisions. The company achieves this with a team that combines traders, developers, and data scientists, all working to scale and automate profitable strategies across markets. The main differentiators are its in-house, data-centered approach and a problem-solving framework that helps it address complex challenges in efficient markets. The goal is to grow and fully automate its profitable strategies to a high level of precision and scale.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Chicago, IL
Founded
2018

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