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Freelance Algorithmic Trading Quant Jobs (NOW HIRING)

An undergraduate or an advanced degree in a quantitative field such as computer science, engineering, or one of the hard sciences. * 1-4 years of trading experience encompassing algorithmic trading ...

... and quantitative researchers to optimize system performance in a highly collaborative environment. Our algorithmic trading group offers broad exposure to diverse strategies, markets, and domain ...

$109.30K - $149.50K/yr

Design and develop advanced algorithmic trading systems with a focus on ultra-low-latency execution. * Optimize and enhance existing trading strategies and systems. * Collaborate with quantitative ...

Junior Algorithmic Trader

Chicago, IL · On-site

$69K - $89.60K/yr

As a Junior Algorithmic Trader, you will have the opportunity to experience relative value ... Build and maintain trading quantitative model tools and analytics * Develop, code, maintain and ...

This job is responsible for conducting quantitative analytics and modeling projects for specific ... Research, prototype, and productionize systematic portfolio trading strategies and algorithms ...

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Freelance Algorithmic Trading Quant information

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$52.5K

$119.2K

$196.5K

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

As of May 30, 2026, the average yearly pay for freelance algorithmic trading quant in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Freelance Algorithmic Trading Quant, you need a deep understanding of quantitative analysis, financial markets, and programming, typically backed by a degree in mathematics, statistics, finance, or computer science. Proficiency with programming languages like Python, R, or C++, and experience with trading platforms, statistical modeling tools, and backtesting systems are essential. Strong problem-solving abilities, attention to detail, and effective self-management set exceptional candidates apart in this role. These skills and qualities are vital for developing, testing, and executing profitable trading strategies in a competitive and rapidly changing environment.

How does a Freelance Algorithmic Trading Quant typically collaborate with clients and other stakeholders during a project?

As a Freelance Algorithmic Trading Quant, you'll often work closely with clients such as hedge funds, proprietary trading firms, or individual investors to understand their trading objectives and risk appetite. Collaboration usually involves regular check-ins to discuss model requirements, share progress updates, and review backtesting results. You may also interact with other professionals like software developers, risk managers, or data engineers, especially when integrating algorithms into existing trading platforms. Clear communication and documentation are essential to ensure alignment on project goals and deliverables. Flexibility and responsiveness to feedback are key to building long-term client relationships in this dynamic field.

What is a Freelance Algorithmic Trading Quant?

A Freelance Algorithmic Trading Quant is an independent professional who designs, develops, and implements mathematical models and algorithms to automate trading in financial markets. They analyze market data, identify trading opportunities, and build automated systems that can execute trades based on quantitative strategies. Unlike full-time employees, freelance algorithmic trading quants typically work on a project basis for various clients or firms, offering flexibility and specialized expertise. Their work often involves programming, statistical analysis, and a strong understanding of financial markets.
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Infographic showing various Freelance Algorithmic Trading Quant job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

$59.80K - $77.70K/yr

Other

Posted 20 days ago


Job description

Description

Our Algorithmic Traders use their expert understanding of the financial markets and market microstructure to develop relative value arbitrage trading software and build and improve trading strategies. As a Junior Algorithmic Trader, you will have the opportunity to experience relative value arbitrage trading paired with innovative software. You will partner with Senior Traders to assist and learn all facets of automated trading. From researching and analyzing high-frequency tick data and trading performance, to building mathematical models and performing time series analysis, you will experience a deep dive into real-time trading and gain exposure to build your expertise. The ideal candidate is intellectually curious, technically analytical, and has the desire to learn and apply programming skills in a fast-paced environment (Python, C++). 

Responsibilities

  • Work with Senior Algorithmic Traders to assist and learn all facets of automated trading
  • Develop expertise in market microstructure, tick data, and automated trading systems
  • Learn and master object-oriented programming languages (C++ and Python)
  • Build and maintain trading quantitative model tools and analytics
  • Develop, code, maintain and support production quality automated trading software and strategies
  • Improve strategies and trade execution by performing post trade analyses and developing prediction models

Requirements

  • Pursuing a Bachelor's, Master's, or Doctorate in a technical field, such as but not limited to STEM or Finance, with a graduation date between December 2025 and Spring 2026, or 1-2 years of pertinent industry experience 
  • Required courses: Data structures, Probability, Statistic,s and Linear Algebra
  • Minimum major GPA of 3.5/4 or equivalent scale
  • Proficiency and experience in object-oriented programming languages, C++, Python, and/or Java preferred 
  • Proficiency and experience in Linux scripting are a plus
  • Demonstrated passion for markets, finance, and trading, such as, but not limited t,o personal trading, participation in trading competitions, attendance at firm discovery days, industry-related student groups or clubs, and/or prior internship experience preferred 
  • Project or internship experience in data analysis, quantitative modeling, and/or machine learning
  • Passion for math and software applied to markets and trading
  • Strong understanding of computing, math, probability, statistics, and finance
  • Strong work ethic and willingness to do what it takes to get the job done
  • Excellent verbal and written communication skills
  • Ability to work within a team in a fast-paced environment
  • This position requires physical presence and is onsite at our office in Aguadilla, PR

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