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Eclipse Trading

Proprietary trading with tech-driven strategies

Quantitative Analyst

Quantitative ResearchConfirmed live in the last 24 hours
Full-timeChicago, IL, USANo salary listed

About the Job

Requirements

  • Proven 2+ years of experience working on or with a mid-to-high frequency trading desk specializing in volatility trading in the US market.
  • Expertise in options portfolio optimization and strategy back testing.
  • Excellent proficiency in Python for scripting, data analysis, and model development.
  • A relevant tertiary degree with a strong academic record, ideally in Mathematics, Physics, Computer Science, Financial Engineering, or a related quantitative field.
  • Authorization to work in the United States.
  • Excellent command of spoken and written English, with the ability to communicate complex ideas clearly and effectively.

Responsibilities

  • Perform quantitative analysis to improve existing trading strategies and develop new ones.
  • Work with traders and quants to identify technical trading problems, conduct detailed research, and deliver mathematical solutions.
  • Build and maintain analytical tools and libraries.

Desired Qualifications

  • Experience with relative value and/or dispersion-based volatility strategies.
  • Experience with short-dated options and modelling short-term realized volatility measures.
  • Research experience in event-driven volatility pricing, such as earnings announcements, macroeconomic events, or M&A activity.

About the Company

Eclipse Trading

Proprietary trading with tech-driven strategies

Eclipse Trading is a proprietary trading firm that develops and operates its own trading strategies across global markets. Its products are powered by in-house quantitative models and technology that support research, strategy development, and automatic trade execution across multiple asset classes. The company differentiates itself through its global footprint, multi-asset reach, and a tech-focused culture that relies on internal systems rather than external partners. Its goal is to generate alpha and grow wealth by applying data-driven, systematic trading across diverse markets and products.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Wan Chai District, Hong Kong
Founded
2007

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