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Freelance Algorithmic Trading Quant Jobs (NOW HIRING)

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

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 ...

TransMarket Group

Junior Algorithmic Trader

Chicago, IL · On-site

$69K - $89K/yr

Description Our Algorithmic Traders use their expert understanding of the financial markets and ... Build and maintain trading quantitative model tools and analytics * Develop, code, maintain and ...

Trading Interview

Quantitative Trader

Manhattan, NY · On-site

$150 - $250/hr

At Jane Street, quantitative traders identify market signals, analyze and execute strategies ... algorithmic trading systems, manage risk, develop new businesses, and more. Our trading desks are ...

TIAA

Quant Trader, Brooklyn Direct Indexing

Manhattan, NY · On-site

$162 - $225/hr

Execute equity orders across markets using quantitative and algorithmic trading techniques. * Monitor market conditions, liquidity, transaction costs, and execution performance to optimize trade ...

TIAA

Quant Trader, Brooklyn Direct Indexing

New York, NY · On-site

$162K - $225K/yr

Execute equity orders across markets using quantitative and algorithmic trading techniques. * Monitor market conditions, liquidity, transaction costs, and execution performance to optimize trade ...

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 ...

UBS

Electronic Trading Quantitative Analyst

New York, NY · On-site

$145K - $172K/yr

... algorithmic trading strategies? We're looking for someone to analyze, adapt and improve the ... The team You'll be working in the Quantitative Analysis & Development team in New York. The team is ...

Trading Interview

Graduate Quantitative Trader

Chicago, IL · On-site

$120 - $180/hr

As a Quant Trader, you will be part of highly motivated team facing the daily challenge of managing ... Develop, maintain, and improve trading strategies and algorithms * Solve complex problems to make a ...

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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 24, 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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Freelance Algorithmic Trading Quant jobs near you
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 Intern

WallStreetQuants

Miami, FL • On-site

Full-time

Re-posted 10 days ago

Job description

A proprietary trading firm based in Miami is seeking a highly motivated Quantitative Trading Intern to join the team as an intern. In this role, you will apply analytical thinking and market intuition to pricing, execution, and risk decisions as part of the firm's quantitative trading team.
This is an ideal opportunity for students and recent graduates who are passionate about financial markets, probability, game theory, technology, and fast-paced decision-making. 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 to learn how modern strategies, models, and trading systems are designed, tested, and implemented.
The team is small, technical, and collaborative, with direct access to experienced traders, quantitative researchers, engineers, high-quality market data, and modern research infrastructure.
This is an on-site opportunity based in Miami, United States.
Requirements
Responsibilities
- Analyze trading scenarios, pricing behavior, and risk tradeoffs.
- Build small research tools for market and strategy review.
- Practice clear reasoning under uncertainty.
- Monitor and analyze real-time market data to identify trading opportunities.
- Support the development, testing, and refinement of quantitative trading strategies.
- Make fast, data-informed trading decisions while managing risk.
- Conduct statistical analysis on historical and live market data.
- Evaluate market microstructure, liquidity, volatility, and other drivers of price movement.
- Participate in trading simulations, training programs, and strategy review sessions.
- Communicate trade ideas, risks, and performance insights clearly to the team.
- Continuously improve decision-making through feedback, research, and post-trade analysis.
Qualifications
- Current student from any degree discipline with strong numerical and analytical reasoning.
- Comfort with probability, mental math, coding, or strategy games.
- Interest in learning trading and market making; no prior quant or finance experience is required.
- Currently enrolled in any degree discipline and interested in building practical analytical skills.
- Evidence of curiosity and problem-solving through coursework, employment, projects, competitions, hobbies, or self-study.
- Strong quantitative, analytical, and problem-solving skills.
- Interest in financial markets, trading, probability, strategy games, or competitive problem-solving.
- Ability to make decisions quickly and remain calm under pressure.
- Strong attention to detail, intellectual curiosity, and a disciplined approach to risk.
- Programming experience in Python or a similar language is preferred.
- Prior internship, research, trading competition, or personal project experience is a plus but not required.
- Applicants from every degree discipline are welcome.
- No prior quantitative finance, trading, or investment-industry experience is required.
- Strong attention to detail, intellectual curiosity, and a commitment to continuous improvement.
- Excellent communication and teamwork skills.
Ideal Candidate
The ideal candidate is intellectually curious, competitive, numerically strong, and comfortable making decisions with incomplete information. You enjoy solving complex problems, thinking strategically, learning from feedback, and working in a fast-moving environment where performance and precision matter.
Benefits
What We Offer
- Comprehensive training in trading, market structure, risk management, and quantitative strategy development.
- Mentorship from experienced quantitative traders, researchers, engineers, and technologists.
- Exposure to live markets, real financial datasets, and the full path from idea to implementation.
- A collaborative, high-performance environment that values curiosity, discipline, and continuous learning.
- Opportunities for rapid growth based on performance, ownership, and measurable impact.
- Competitive compensation and a benefits package aligned with the employer and location.

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