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Freelance Algorithmic Trading Programmer Jobs (NOW HIRING)

DRW

Algorithmic Trader

Chicago, IL · On-site

$125K/yr

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated ... You will work closely with experienced traders, software engineers, and quantitative researchers to ...

Hyphen Connect Limited

$109K - $149K/yr

Join our innovative proprietary trading firm dedicated to developing cutting-edge algorithmic ... Expert-level proficiency in C++ or Rust programming. * Strong background in high-frequency trading ...

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How much do freelance algorithmic trading programmer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for freelance algorithmic trading programmer in the United States is $80,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $92,500.00 per year, depending on experience, location, and employer.

What are some typical challenges freelance algorithmic trading programmers face when working with clients?

Freelance algorithmic trading programmers often encounter challenges such as aligning with clients' diverse strategies, accommodating rapid changes in trading requirements, and ensuring robust backtesting for different market conditions. Effective communication is key, as clients may have varying levels of technical understanding and expectations regarding performance and risk management. Additionally, freelancers must stay updated on compliance standards and platform-specific APIs, which can differ significantly between projects.

What are the key skills and qualifications needed to thrive as a Freelance Algorithmic Trading Programmer, and why are they important?

To thrive as a Freelance Algorithmic Trading Programmer, you need strong programming skills (often in Python, C++, or Java), a solid understanding of financial markets, and experience with quantitative analysis. Familiarity with trading platforms (like MetaTrader, NinjaTrader, or Interactive Brokers API), backtesting frameworks, and relevant certifications such as CFA or CQF can be highly valuable. Outstanding problem-solving, attention to detail, and effective communication with clients set top performers apart. These skills are crucial for building reliable, profitable trading algorithms and translating complex financial requirements into robust, real-world solutions.

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

AspectFreelance Algorithmic Trading ProgrammerQuantitative Analyst
CredentialsProgramming skills, trading platform knowledge, sometimes certifications like CQFAdvanced degrees in finance, mathematics, or statistics, certifications like CFA or FRM
Work EnvironmentIndependent, remote, project-basedIn-house or consulting, often office-based
Industry UsageDevelops trading algorithms for clients or personal tradingAnalyzes financial data to inform trading strategies and risk management

While both roles involve quantitative skills and financial markets, Freelance Algorithmic Trading Programmers focus on coding and developing trading algorithms independently, whereas Quantitative Analysts analyze data to support trading decisions within organizations.

What is a Freelance Algorithmic Trading Programmer?

A Freelance Algorithmic Trading Programmer is a professional who designs, develops, and implements trading algorithms for financial markets on a contract or project basis. They use programming languages like Python, C++, or Java to create automated systems that can execute trades based on predefined strategies without human intervention. These programmers often collaborate with traders, investment firms, or hedge funds to build, backtest, and optimize trading algorithms that aim to maximize profits and minimize risks. Working independently, they may also advise clients on best practices, maintain trading infrastructure, and ensure compliance with relevant financial regulations.
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Freelance Algorithmic Trading Programmer jobs near you
Infographic showing various Freelance Algorithmic Trading Programmer job openings in the United States as of June 2026, with employment types broken down into 2% Internship, 61% Full Time, 33% Part Time, 2% Contract, and 2% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $80,664 per year, or $38.8 per hour.

Low Latency Multi-Asset Algorithmic Trading Quant Developer

Quanta Search

New York, NY

Other

Posted 9 hours ago

Job description

Our client is one of world's leading providers of advisory and capital market services and the premier provider of liquidity to corporations, governments, and institutions. In the world's key financial centers, we partner with our clients to deliver innovative financial solutions that help them achieve their strategic and financial goals. Within the firm, the Quantitative Modeling and Analytics team provides models, analytics, and quantitative support to the fx, rates, credit, and commodities business units to enable them to achieve these goals.

Due to continuing business growth, they are looking to hire an individual to join the algorithmic quantitative analytics team within the QMA group. This individual will be responsible for a range of tasks including

  • Work with senior trading, quant / quant dev, business, and technology management to drive the continued growth of the eTrading business across all foreign exchange, fixed income, and interest rate products
  • Develop and support pricing, hedging and algorithm trading models and software for electronic trading in fixed income, foreign exchange and interest rate markets
  • Develop tools and perform analysis of electronic trading and markets in areas such as liquidity, market structure, profit and loss, and transaction cost analysis
  • Maintain strong knowledge of current markets, technologies, vendors, trends and innovations and adapt the technology and analytics approaches as appropriate
  • Partner with other areas including technology, risk management, and compliance to deploy new or enhanced models and components to production

The successful candidate will demonstrate skills in multiple distinct areas including

  • 5+ years of experience in developing electronic and algorithmic trading models and tooling
  • Superior software skills in Java and Python, experience with time-series databases (e.g. kdb) is an advantage
  • Demonstrated experience in hands-on development and deployment of major components into production trading systems
  • Good understanding of complex event processing, low latency and low/zero GC development
  • Superior analysis and debugging skills in support of active production trading operations
  • Strong knowledge of electronic and algorithmic trading markets and products in both fixed income and foreign exchange
  • Commercially oriented with a pragmatic approach to project development and delivery
  • Outstanding communication and team-working skills
  • Ability to work in a high-pressure environment with tight deadlines

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