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Global Quant Jobs (NOW HIRING)

Eclipse Trading

Quantitative Analyst

Chicago, IL · On-site

This is an on-site role and this position is part of our global Quant and Integration team and will report to both the US Trading Team Lead and the Senior Trading Analyst of Quant and Integration.

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How much do global quant jobs pay per year?

As of Sep 10, 2026, the average yearly pay for global quant in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Global Quant job openings in the United States as of July 2026, with employment types broken down into 86% Full Time, 10% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Market Making Quant, Equity Derivatives

New York, NY • On-site

CLSA
See more jobs at CLSAexternal

$150K - $190K/yr

Full-time

Re-posted 16 days ago

Job description

Key Areas of Responsibilities
  • Supporting EQD US Market Making business on listed products.
  • Building pricing tools and looking after daily risk and PnL analysis.
  • Building trading applications on US products.
  • Building transaction analysis tools to optimize the business flows
  • Working with global quants on quant library and global quant projects
  • Designing and innovating equity derivative library
  • Working with IT to build a resilient risk/pricing infrastructure
  • Building Vol Fitting tools and Dividend marking tools
  • Supporting daily trading applications
  • Building trading tools and support the Equity Derivative sales teams overseas

Requirements
  • Master's degree or above in Computer Science, Maths, Engineering or related disciplines
  • Minimum 6 years of relevant experience in Market Making business
  • Extensive knowledge in computer science fundamentals and software development experience in Python (3.9+) with excellent debugging and analytical skills
  • In-depth understanding of Equity Derivatives
  • Strong understanding of design patterns, solid principles, and unit testing practices
  • Experience with SQL, database design, and large datasets
  • Expertise in engineering platform solutions in Python on large-scale, complex systems
  • Ability to work in a fast-paced environment and critically, solve various problems arising from trading, risk and operations
  • Self-motivated, strong attention to detail and a proactive mindset.
  • Fluent in both spoken and written English

Salary Range: $150,000-$190,000 USD
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