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Linux Quantitative Developer Jobs (NOW HIRING)

Our Technology Our systems are almost all running on Linux and most of our code is in Python, with ... engineering, preferably with a focus on quantitative applications * Expert knowledge of Python and ...

Our Technology Our systems are almost all running on Linux and most of our code is in Python, with ... engineering, preferably with a focus on quantitative applications * Expert knowledge of Python and ...

Quantitative Developer

Manhattan, NY · On-site

$125K - $175K/yr

We are looking for a Junior Quant Developer to join the Platform & Operations team. This is an ... Good working knowledge of Bash scripting and Linux environments * Familiarity with version control ...

Role: We are looking for a quantitative software developer to join our team and contribute to ... Familiarity with the Linux environment. * Excellent written and verbal communication skills.

Role: We are looking for a quantitative software developer to join our team and contribute to ... Familiarity with the Linux environment. * Excellent written and verbal communication skills.

Senior Quantitative Developer

Chicago, IL · On-site

$180K - $225K/yr

... engineer who builds fast, robust, concurrent numerical systems and who enjoys turning quantitative ... Interprocess Communication in a Linux environment (unix domain sockets, message queues, shared ...

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Linux Quantitative Developer information

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$98K

$169.7K

$259.5K

How much do linux quantitative developer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for linux quantitative developer 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.

What are popular job titles related to Linux Quantitative Developer jobs?

For Linux Quantitative Developer jobs, the most frequently searched job titles are:

Quantitative Developer Internship - 2027

Chicago, IL • On-site

Internship

Re-posted 18 days ago


Job description

 
This is a 10 week internship available all seasons of the year. 
 
What you'll do:
  • Contribute to the research, design, and implementation of predictive statistical and machine learning models across prediction markets and exchange venues
  • Prototype and backtest models, monitor performance, and assist with optimizations.
  • Contribute to key feature development for model efficiency
  • Develop and maintain Python codebases in a Linux environment.
  • Help to design and implement new pricing models and frameworks
  • Support data pipeline and SQL database interactions for real-time models.
  • Assist in improving trading systems and operational tools.
  • Gain exposure to multiple sports, quantitative disciplines, and production engineering.
  • Other duties as assigned.

Skills you'll need:
  • Proficiency in Python (experience in R or other languages a plus).
  • Strong interest in statistical modeling, machine learning, or predictive analytics.
  • Familiarity with Linux and SQL databases.
  • Ability to work in a fast-paced environment and manage multiple tasks.
  • Interest in sports and sports analytics / sabermetrics.
  • Strong problem-solving and communication skills.
  • Predictable and reliable availability

It's great to see:
  • Coursework in statistics, optimization, computer science, or related fields.
  • Prior internship or project experience in trading, quantitative research, or software engineering.
  • Exposure to object-oriented development, real-time systems, or algorithmic trading models.
  • Experience with sports gambling, fantasy sports, or predictive analytics applied to sports.