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Weekend Algorithmic Trading Quant Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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

... and quantitative researchers to optimize system performance in a highly collaborative environment. Our algorithmic trading group offers broad exposure to diverse strategies, markets, and domain ...

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Weekend Algorithmic Trading Quant information

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$52.5K

$119.2K

$196.5K

How much do weekend algorithmic trading quant jobs pay per year?

As of Jun 25, 2026, the average yearly pay for weekend 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 Weekend Algorithmic Trading Quant?

A Weekend Algorithmic Trading Quant is a quantitative analyst who specializes in developing, testing, and implementing trading algorithms specifically for financial markets that operate or are accessible during weekends, such as cryptocurrency markets. These professionals use mathematical models, statistical analysis, and programming skills to identify trading opportunities, manage risk, and optimize trading strategies outside of traditional market hours. Their work often involves analyzing large datasets, backtesting strategies, and deploying automated trading systems to generate profits while minimizing human intervention.

What are some common challenges faced by a Weekend Algorithmic Trading Quant, and how can they be addressed?

One of the main challenges for a Weekend Algorithmic Trading Quant is ensuring the robustness and reliability of trading algorithms during periods of lower market liquidity and higher volatility, which are common on weekends in certain asset classes like cryptocurrencies. Additionally, effective monitoring and quick response to unexpected market events can be more difficult with limited team availability outside regular business hours. To address these challenges, quants typically implement thorough backtesting, automated alert systems, and clear escalation protocols to manage risk and maintain performance even during off-peak times.

What are the key skills and qualifications needed to thrive as a Weekend Algorithmic Trading Quant, and why are they important?

To thrive as a Weekend Algorithmic Trading Quant, you need strong quantitative analysis skills, programming proficiency (such as Python or C++), and a degree in mathematics, finance, or a related field. Familiarity with trading platforms, statistical modeling libraries, and backtesting systems is typically required, along with experience using market data APIs. Exceptional problem-solving abilities, attention to detail, and the capacity to work independently under time constraints are valuable soft skills in this role. These competencies are crucial for developing, testing, and executing profitable trading strategies in dynamic weekend markets where rapid decision-making is essential.
More about Weekend Algorithmic Trading Quant jobs
What cities are hiring for Weekend Algorithmic Trading Quant jobs? Cities with the most Weekend Algorithmic Trading Quant job openings:
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What job categories do people searching Weekend Algorithmic Trading Quant jobs look for? The top searched job categories for Weekend Algorithmic Trading Quant jobs are:
Infographic showing various Weekend Algorithmic Trading Quant job openings in the United States as of June 2026, with employment types broken down into 34% As Needed, 33% Full Time, and 33% Nights. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Quant Strat/Trader for HFT Cash/Futures/Commodities

Quanta Search

Manhattan, NY • On-site

Other

Posted 27 days ago


Job description

Location: New York (Midtown) office.
Role:Quantitative strategist.
Team:Quantitative Strategies Trading
Key Responsibilities:Designing, developing and managing profitable systematic trading strategies in US Cash and Futures FI, FX, Equity and Commodities 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 with the team's technology and trading experts for production implementation.
The team is particularly interested in candidates with expertise in the following:
  • Fundamental data / economic event driven strategies
  • Commodities systematic strategies (Energy, Metals, Agricultural)
  • Cash FX systematic strategies
  • Liquidity taking strategies
This is an opportunity to work as a member of a small group of talented individuals that develop cutting edge algorithmic trading strategies (intraday and overnight) on a wide range of asset classes (Fixed Income, FX, Equities, Commodities). 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.
Solid compensation package is offered to the right candidate.