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Freelance Algorithmic Trading Software Developer Jobs in London, CA

Hudson River Trading

Research Engineer

London, CA

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

United Restorations, LLC

Be Seen First

Project Manager / General Construction Project Engineer

Fresno, CA · On-site

$30 - $34/hr

Coordinate with field crews, electricians, plumbers, and other trades * Assist with estimating ... Proficiency with project management software or construction documentation systems

Deloitte

AI Security Engineer Manager

Fresno, CA

Communication and Influence Clearly articulate technical risks, trade-offs, and solutions to both ... Minimum 6 years of relevant experience in software engineering, cybersecurity, and/or including AI ...

JLL

Construction Senior Project Manager

Fresno, CA · Remote

$110K - $150K/yr

Whether you've got deep experience in commercial real estate, skilled trades or technology, or you ... Lead entire project team consisting of architects, engineers, general and specialty contractors ...

Dreyer's Grand Ice Cream, Inc.

Electrician

Tulare, CA · On-site

$28.45/hr

Provide security software, technical support for all data systems as well as, software, hardware ... Collaborate with the engineering team to identify and implement automation system upgrades and ...

All JobsAlgorithmic Trading Software Developer JobsFreelance Algorithmic Trading Software Developer JobsFreelance Algorithmic Trading Software Developer Jobs in London, CA

Freelance Algorithmic Trading Software Developer information

See London, CA salary details

$48.1K

$112.1K

$166.4K

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

As of Aug 22, 2026, the average yearly pay for freelance algorithmic trading software developer in London, CA is $112,084.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $130,300.00 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.

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For Freelance Algorithmic Trading Software Developer jobs in London, CA, the most frequently searched job titles are:

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Freelance Algorithmic Trading Software Developer jobs near you
Infographic showing various Freelance Algorithmic Trading Software Developer job openings in London, CA as of June 2026, with employment types broken down into 1% Internship, 5% Full Time, 66% Part Time, 3% Temporary, and 25% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $112,084 per year, or $53.9 per hour.

Software Engineer - Distributed Compute

Hudson River Trading

London, CA • On-site

Full-time

Re-posted yesterday

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.

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