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Algorithmic Trading Quant Jobs (NOW HIRING)

Invesco

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 ...

Trading Interview

$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

Invesco

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 ...

Wintermute

Algorithmic Trader

New York, NY

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 ...

Trading Interview

Quantitative Trader (Options)

Chicago, IL · On-site

$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

Wintermute

Algorithmic Trader

New York, NY · On-site

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 ...

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 ...

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 ...

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Algorithmic Trading Quant information

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$52.5K

$119.2K

$196.5K

How much do algorithmic trading quant jobs pay per year?

As of Aug 21, 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 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.

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

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.

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Algorithmic Trading Quant jobs near you
Infographic showing various 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.

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