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Edgehog Trading

Proprietary trading firm for electronic options

Graduate Quantitative Trader

Quantitative Trading / Algorithm DevelopmentConfirmed 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, Data Science, Engineering, Mathematics, Economics, Statistics, Finance, Physics, or a related field.
  • Have strong quantitative and analytical skills.
  • Have strong Python programming skills.
  • Experience using AI agents to automate tasks and workflows is a plus.

Responsibilities

  • Complete a comprehensive four-month training program covering options theory, quantitative modeling, systematic trading strategies, and on-desk trading.
  • Design, research, and optimize systematic options trading strategies using quantitative analysis and statistical methods.
  • Analyze market microstructure and execution quality to identify opportunities and improve strategy performance.
  • Manage real-time risk across a diversified portfolio of options positions.
  • Work hands-on with proprietary trading systems, models, and infrastructure.
  • Gradually transition into live trading responsibilities with senior mentorship and ongoing support.

Desired Qualifications

  • Familiarity with libraries such as pandas, NumPy, or SciPy.

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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