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Freelance Algorithmic Trading Quant Jobs (NOW HIRING)

Eagle Seven is seeking an experienced Algorithmic Trader to trade futures contract listed on Eurex ... trading financial products (e.g options, futures) * Strong analytical, quantitative, and math ...

Eagle Seven is seeking an experienced Algorithmic Trader to trade futures contract listed on Eurex ... trading financial products (e.g options, futures) * Strong analytical, quantitative, and math ...

Algorithmic Trading Developer - C++

Manhattan, NY ยท On-site

$54 - $72.75/hr

Our software engineers work side-by-side with quantitative researchers and product managers to implement market leading algorithms and strategies for futures and fixed income trading. As a key member ...

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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 29, 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.
More about Freelance Algorithmic Trading Quant jobs
What cities are hiring for Freelance Algorithmic Trading Quant jobs? Cities with the most Freelance Algorithmic Trading Quant job openings:
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What job categories do people searching Freelance Algorithmic Trading Quant jobs look for? The top searched job categories for Freelance Algorithmic Trading Quant jobs are:
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.

Low Latency Multi-Asset Algorithmic Trading Quant Developer

Quanta Search

New York, NY โ€ข On-site

Full-time

Posted 16 days 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

Thank you for illuminating hiring with Quanta Search!
www.quantasearch.com