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Freelance Algorithmic Trading Quant Jobs (NOW HIRING)

Quant Researcher, Trading

New York, NY · Hybrid

$120K - $160K/yr

Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading ... Candidates with experience in transaction cost analysis, or conducting algorithmic trading research ...

$150 - $200/hr

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 ...

New

Quant Researcher, Trading

Atlanta, GA · Hybrid

$120K - $160K/yr

Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading ... Candidates with experience in transaction cost analysis, or conducting algorithmic trading research ...

Excellent quantitative and analytical skills - we will test! * Trading knowledge isn't required but a strong willingness and curiosity to learn algorithmic, high-frequency, quantitative and liquidity ...

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 ...

New

Excellent quantitative and analytical skills - we will test! * Trading knowledge isn't required but a strong willingness and curiosity to learn algorithmic, high-frequency, quantitative and liquidity ...

The work spans quant trading, algorithmic trading, market making, probability, execution, and risk management. You will work closely with experienced traders, quantitative researchers, and engineers ...

The work spans quant trading, algorithmic trading, market making, probability, execution, and risk management. You will work closely with experienced traders, quantitative researchers, and engineers ...

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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 Aug 20, 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 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.

What are the key skills and qualifications needed to thrive as a freelance algorithmic trading quant?

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.
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Infographic showing various Freelance Algorithmic Trading Quant job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, and 3% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Quantitative Trading & Research - Rates - Quantitative Developer - Vice President

JPMorganChase

Manhattan, NY • On-site

Full-time

Re-posted 3 days ago


Job description

Job Summary:
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to various clients. As a Quantitative Developer, you will design and deliver production systems for systematic trading in global Rates markets, collaborating closely with researchers and traders to enhance trading capabilities.
Responsibilities:
• Design, build and maintain algorithmic trading systems and execution platforms for systematic Rates trading
• Implement quantitative models in production, translating research prototypes into robust, scalable strategies
• Collaborate with traders and researchers to refine models, quoting, hedging, risk management and allocation processes
• Engineer high-quality, testable and observable code for reliability in live markets
• Optimise performance, latency and throughput of critical trading components
• Automate workflows and deployments to improve speed, safety and repeatability across the stack
• Monitor, diagnose and resolve production issues, contributing to continuous improvement
• Document designs, interfaces and operating procedures to support transparency and knowledge sharing
Qualifications:
Required:
• Proficiency in programming with Java, C++ or another object-oriented language
• Experience performing data analysis in Python, including proficiency with data science libraries (e.g., NumPy, pandas) and visualisation tools
• Ability to translate quantitative models into reliable, maintainable production code
• Effective interpersonal and communication skills; ability to collaborate with traders, quantitative researchers and software engineers
• High attention to detail and a commitment to quality in fast-paced environments
• Interest in financial markets and systematic trading
• Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering or another quantitative field
Preferred:
• Knowledge of Fixed Income and Rates markets
• Experience with high-frequency, algorithmic or electronic trading, including low-latency and performance-sensitive systems
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.