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Freelance Algorithmic Trading Quant Jobs (NOW HIRING)

Old Mission

Quantitative Trader (Options)

Chicago, IL · On-site

$150K - $200K/yr

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 ...

Alpaca

Senior Software Engineer - Core Trading

New York, NY · On-site +1

$134K - $176K/yr

You must have previous software engineering experience with trading or exchange systems (OMS, EMS, exchanges, market making, algorithmic trading, quant trading). Who You Are (Must-Haves): * Strong ...

Jane Street

Quantitative Trader

New York, NY · On-site

Algorithmic Trading and Market Microstructure You'll learn the end-to-end process of developing an ... A strong quantitative thinker (no specific degree or major is required) * A clear and effective ...

Da Vinci

Experienced Quant

Miami, FL · On-site

Da Vinci is looking for experienced quants to join a highly skilled, collaborative team in solving ... Deep understanding of financial markets and/or algorithmic trading (especially for trading roles)

Da Vinci

Experienced Quant

Miami, FL · On-site

Da Vinci is looking for experienced quants to join a highly skilled, collaborative team in solving ... Deep understanding of financial markets and/or algorithmic trading (especially for trading roles)

Jane Street

Quantitative Trader

New York, NY

Algorithmic Trading and Market Microstructure You'll learn the end-to-end process of developing an ... A strong quantitative thinker (no specific degree or major is required) * A clear and effective ...

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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 Jul 10, 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, 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.
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Freelance Algorithmic Trading Quant jobs near you
Infographic showing various Freelance Algorithmic Trading Quant job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.
Quantitative Researcher (Experienced)

Quantitative Researcher (Experienced)

Valkyrie Trading

Chicago, IL

$155K - $190K/yr

Full-time

Medical, Dental, PTO

Posted 16 days ago

Job description

What You'll Do:
 
At Valkyrie, Quantitative Researchers are expected to apply their quantitative skill set to solve challenging problems in financial modeling, algorithm development, and system optimizations. In this role, you will have an opportunity to work with traders and software developers in a highly collaborative environment to improve Valkyrie's complex, ever-evolving algorithmic infrastructure. Specific responsibilities can range from building tools for traders to exploring new trading ideas, to writing algorithms from scratch, to automating and refining existing strategies, to analyzing and optimizing system performance. You will also inform traders about the market developments, tools, and models that drive Valkyrie's trading activities. 
 
Quantitative Researchers here focus on one of two areas: modeling or execution. Modeling Quantitative Researchers are expected to design automated market-making and risk management algorithms, and to build statistically driven position taking strategies. Execution Quantitative Researchers are expected to perform post-trade analysis, system behavior investigations, algo parameter optimizations, market microstructure studies, and other execution system optimizations. 
 
This role is for experienced applicants. Those with 3+ years of relevant experience will be considered for a Senior-level role.
What You'll Need:
  • 2+ years of full-time, professional experience in quantitative research, trading, or technology role-ideally in an algorithmic trading firm or a similar high-performance environment
  • Degree in mathematics, physics, engineering, computer science or equivalent
  • Ability to write and maintain a repository of clean, organized, object-oriented Python code; C++ experience is a plus
  • Proven experience in Options and volatility modeling, or statistical analysis on large data sets OR Diagnosing and optimizing algo logic in latency-sensitive or high-throughput distributed systems
  • Expertise working with MySQL or similar databases in conducting historical research and back-testing
  • Passion for innovation and solving open-ended, data-rich problems
  • Strong communication skills, both written and verbal, with the ability to explain complex, technical ideas clearly
  • Collaborative attitude with a competitive drive and comfort with metrics-based performance evaluation
  • Practical mindset with a focus on delivering impactful, production-grade solutions
What You'll Get:
  • Competitive salaries and performance bonuses
  • Top-tier medical and dental coverage
  • Relocation assistance packages
  • Generous vacation policy
  • Training opportunities and continuing education
  • Catered lunch, snacks, and beverages
  • Group outings and company parties
  • Casual dress environment
Salary range
  • $155,000 - $190,000 a year
  • This position is also eligible for an annual discretionary bonus.
Our Vision
  • Valkyrie's vision is to be an organization where curious, driven, and innovative people are able to compete and win in the world's most competitive landscape - the financial markets.   Daily competition in the financial markets provides the ideal arena to push ourselves further as we are ever striving to grow, improve, and win.  We recognize that there are extraordinary opportunities to be had every day, and by exploring, collaborating, and building, we can accomplish remarkable results together.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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