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Edgehog Trading

Proprietary trading firm for electronic options

Quantitative Execution Trader

Quantitative Trading / Algorithm DevelopmentConfirmed live in the last 24 hours
Full-timeChicago, IL, USA

About the Job

Requirements

  • Previous trading experience of at least 2 years, with a proven track record managing an options market-making book and maintaining or improving automated trading systems.
  • A BA, BS, MS, or PhD degree in Computer Science, Data Science, Engineering, Mathematics, Economics, Finance, Physics, or a related field.
  • Ability to use market information to positively impact trading operations and algorithmic trading systems.
  • Ability to work under pressure and make fast decisions in a dynamic market.
  • Effective interpersonal skills to manage and form external counterparty relationships.
  • Strong Python programming skills.

Responsibilities

  • Manage pricing, positioning, and algorithmic trading activity across options market-making strategies and desks.
  • Serve as the primary point of contact for brokers and institutional counterparties, translating relationship and flow context into adjustments for pricing and positioning.
  • Analyze market microstructure and execution quality to generate alpha signals and improve strategy performance.
  • Manage real-time risk across a diversified portfolio of options positions.
  • Develop relationships to improve access to flow and expand the business.
  • Collaborate with quantitative researchers and engineers to develop new models using proprietary datasets.

Desired Qualifications

  • Familiarity with AI agents.

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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