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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 ...

Invesco

Quant Researcher, Trading

New York, NY · On-site

$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 ...

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 ...

UBS

Electronic Agency Algorithmic Trader

New York, NY · On-site

$145K - $172K/yr

... trading desks, quantitative analysts, and clients to adjust parameters on the back of stock specific news and in advance of special event days to ensure algorithm behavior is aligned with client and ...

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 ...

Galaxy

VP, Quantitative Developer

New York, NY

Develop, implement, and maintain high-performance trading algorithms and models for Crypto markets * Collaborate with traders and quantitative analysts to understand trading strategies and translate ...

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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 Jun 10, 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 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 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.

More about Algorithmic Trading Quant jobs
What cities are hiring for Algorithmic Trading Quant jobs? Cities with the most Algorithmic Trading Quant job openings:
What are the most commonly searched types of Algorithmic Trading Quant jobs? The most popular types of Algorithmic Trading Quant jobs are:
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Algorithmic Trading Quant jobs near you
Infographic showing various Algorithmic Trading Quant job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

E-Rates Quant Trader/Researcher

Quanta Search

New York, NY

Other

Posted 11 days ago

Job description

Location: New York (Midtown) office.
Role:Quantitative strategist.
Team:US Interest Rates electronic trading team
Key Responsibilities:Designing, developing and managing profitable systematic trading strategies in the global US Interest Rates markets. The candidate is expected to perform her/his own trading strategy design and research. As such, the role requires high level development in C++ and Python. We expect the candidate to collaborate actively with the team's technology and trading experts for production implementation.
The team is particularly interested in candidates with expertise in the following:
  • CME Eurodollars trading
  • Cash US Treasury / Futures basis trading
  • Fundamental data / economic event driven strategies
  • Liquidity taking strategies
This is an opportunity to be part of a small group of talented individuals that develop cutting edge algorithmic trading strategies. The strategist will have the opportunity to deploy its trading strategy with limited infrastructure build time by leveraging an existing successful technology and research platform.
  • Education: B.S., M.S. or PhD in engineering, mathematics, physics, statistics, computer science
  • Seniority: minimum of 3 years of experience working on a prop trading, quantitative trading or electronic trading desk (investment bank, hedge fund, etc.).
  • Skills:
    • Significant experience with alpha generation and portfolio management.
    • Ability to deploy and manage a trading strategy from inception.
    • Strong programming skills (C++ and Python preferred)
    • Working knowledge of Linux and code repository management preferred.
    • Self-motivated, hard-working and creative personality
    • Clear and confident communication skills.

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