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Freelance Algorithmic Trading Software Developer Jobs in Fresno, CA

... Algo Developer (Quant Research) trading teams. These roles require exceptional programming ... Design, develop, and maintain robust, performant, and scalable software systems. * Optimize ...

Solutions Engineer, Remote

Fresno, CA · On-site

$57.69 - $67.31/hr

Serve as a subject matter expert on Aperia's products, pilot data, and algorithm behavior to ... Experience and familiarity with the sales/pre-sales processes used in either hardware or software ...

Solutions Engineer, Remote

Fresno, CA · On-site

$120K - $140K/yr

Serve as a subject matter expert on Aperia's products, pilot data, and algorithm behavior to ... Experience and familiarity with the sales/pre-sales processes used in either hardware or software ...

Underpinned by a unique biometric algorithm, Biosite provides market-leading software solutions for ... Working closely with new customers to build successful trading relationships. * Developing your own ...

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Showing results 1-20

Freelance Algorithmic Trading Software Developer information

See Fresno, CA salary details

$47.7K

$111.1K

$164.8K

How much do freelance algorithmic trading software developer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for freelance algorithmic trading software developer in Fresno, CA is $111,052.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $129,100.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Algorithmic Trading Software Developer vs Quantitative Analyst?

AspectFreelance Algorithmic Trading Software DeveloperQuantitative Analyst
CredentialsProgramming skills, trading platform knowledge, possibly certifications like CQFMathematics, statistics, finance degrees, certifications like CFA
Work EnvironmentIndependent, remote, project-basedOffice-based, team-oriented, financial institutions
Industry UsageDevelops trading algorithms for clients or own tradingAnalyzes financial data to inform trading strategies

While both roles involve quantitative skills and financial markets, Freelance Algorithmic Trading Software Developers focus on building and implementing trading algorithms independently, often working remotely. Quantitative Analysts typically analyze data within financial firms to develop trading strategies, often working in team environments. The roles overlap in technical skills but differ in scope and work setting.

What are popular job titles related to Freelance Algorithmic Trading Software Developer jobs in Fresno, CA? For Freelance Algorithmic Trading Software Developer jobs in Fresno, CA, the most frequently searched job titles are:
What job categories do people searching Freelance Algorithmic Trading Software Developer jobs in Fresno, CA look for? The top searched job categories for Freelance Algorithmic Trading Software Developer jobs in Fresno, CA are:
What cities near Fresno, CA are hiring for Freelance Algorithmic Trading Software Developer jobs? Cities near Fresno, CA with the most Freelance Algorithmic Trading Software Developer job openings:
Infographic showing various Freelance Algorithmic Trading Software Developer job openings in Fresno, CA as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $111,052 per year, or $53.4 per hour.

Software Engineer - Distributed Compute

Hudson River Trading

London, CA

Full-time

Re-posted 18 days ago


Job description

Hudson River Trading (HRT) is one of the top algorithmic trading companies in the world. Our research cluster is the backbone of our success; it's where all of our trading strategies are generated.

We use a large, customized research environment with highly advanced CPU and GPU compute, storage, and networking technology. Our team thinks about the entire software stack, from the user-level API to optimizing performance out of low-level caching. We deal with everything from the theoretical, like fair resource scheduling, to the concrete, like optimizing a trader's new program run-time performance. 

As a distributed compute engineer in a user-facing environment, you'll develop and improve on technical solutions that make research as easy and efficient as possible. You'll work everyday with both talented quantitative traders and software engineers across all trading teams.

Responsibilities

  • Ensure HRT's research environment is best in class, with a focus on user workloads
    • Maintain and improve resource scheduling, data caching, and job monitoring to make research as easy, fast, and efficient as possible, using both in-house and open source solutions
    • Optimize workloads at the user level to speed up user iteration speed
    • Tune workloads at the infrastructure level to make them more resource-efficient
    • Share metrics and real-time information with users to give insight into workload behavior
    • Sit down with users to understand their specific technical needs
  • Contribute individually and through leadership and coordination of the above
  • Set technical direction for the platform and take holistic ownership of the software infrastructure that supports Algo research

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, or a related field
  • Strong C++ expertise (daily use preferred)
  • Python familiarity preferred
  • Experience collaborating closely with quantitative researchers and traders to understand their needs
  • Great communication capabilities
  • Superior design, debugging, and problem solving skills
  • Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.