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Weekend 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 ...

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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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 3, 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 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.

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 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.
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 May 2026, with employment types broken down into 2% Locum Tenens, 92% Full Time, and 6% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% 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 22 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