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Algorithmic Trading Quant Jobs (NOW HIRING)

Eagle Seven

Algorithmic Trader

Chicago, IL

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

Algorithmic Trader

Chicago, IL · On-site

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 ...

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How much do algorithmic trading quant jobs pay per year?

As of May 29, 2026, the average yearly pay for 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 does an Algorithmic Trading Quant do?

An Algorithmic Trading Quant designs, develops, and optimizes mathematical models and algorithms for automated trading strategies. They analyze market data, identify patterns, and leverage statistical and machine learning techniques to make high-frequency or systematic trading decisions. These professionals work closely with traders and software engineers to enhance execution efficiency and manage risk. Strong programming skills, quantitative analysis, and financial market knowledge are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Algorithmic Trading Quant position, and why are they important?

To thrive as an Algorithmic Trading Quant, you need strong quantitative analysis skills, advanced knowledge in mathematics or statistics, and a degree in a related STEM field. Expertise in programming languages such as Python, C++, or R, along with experience using statistical modeling tools and financial data platforms, is often required. Excellent problem-solving abilities, attention to detail, and effective communication are valuable soft skills for this role. These competencies are critical for developing robust trading algorithms, collaborating with cross-functional teams, and maintaining a competitive edge in fast-paced financial markets.

What does a typical day look like for an Algorithmic Trading Quant?

A typical day for an Algorithmic Trading Quant involves designing and back-testing new trading strategies, analyzing large volumes of financial data, and refining algorithmic models for optimal performance. You’ll collaborate closely with traders, software engineers, and risk managers to implement strategies in live markets and address real-time trading challenges. Regular tasks also include monitoring algorithmic performance, troubleshooting issues, and staying updated on market trends. The environment is highly dynamic, requiring adaptability, continuous learning, and strong teamwork to achieve trading objectives.
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Algorithmic Trading Quant jobs near you
Infographic showing various 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 • 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

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