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Software Engineer | High-Frequency Trading

  • Software Engineer | High-Frequency Trading job type Posted on: Nov 04, 2026
  • Software Engineer | High-Frequency Trading experience level Fionics
  • Software Engineer | High-Frequency Trading employment type Chicago, Illinois
  • Software Engineer | High-Frequency Trading salary Salary: $150,000 per year
  • Software Engineer | High-Frequency Trading employment type Remote
  • Software Engineer | High-Frequency Trading salary Full-time

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Job Title :

Software Engineer | High-Frequency Trading

Job Type :

Full-Time

Job Location :

Chicago Illinois United States

Remote :

Yes

Jobcon Logo Job Description :

Software Engineer - Quantitative Finance40+ top trading firms seeking exceptional engineers. Multiple immediate openings.What you'll do:Build trading systems and market data infrastructureDevelop quantitative research platforms and toolsOptimize performance-critical financial applicationsRequirements:2+ years software engineering experienceStrong C++/Python/Java skillsTrading experience preferred but not essentialOur network:Pay: $150K-$800K+ based on experienceLocations: Chicago, RemoteFocus: Trading platforms, risk systems, data infrastructureFrom high-growth prop firms to established systematic funds.Ready to engineer the markets? Apply now for confidential discussions.

Jobcon Logo Position Details

Posted:

Nov 04, 2026

Reference Number:

10440_4480283183

Employment:

Full-time

Salary:

$150,000 per year

City:

Chicago

Job Origin:

APPCAST_CPC

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Software Engineer - Quantitative Finance40+ top trading firms seeking exceptional engineers. Multiple immediate openings.What you'll do:Build trading systems and market data infrastructureDevelop quantitative research platforms and toolsOptimize performance-critical financial applicationsRequirements:2+ years software engineering experienceStrong C++/Python/Java skillsTrading experience preferred but not essentialOur network:Pay: $150K-$800K+ based on experienceLocations: Chicago, RemoteFocus: Trading platforms, risk systems, data infrastructureFrom high-growth prop firms to established systematic funds.Ready to engineer the markets? Apply now for confidential discussions.

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