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Weekend Algorithmic Trading Quant Jobs (NOW HIRING)

Old Mission

Quantitative Trader (Options)

Chicago, IL

$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 ...

DRW

Algorithmic Trader

Chicago, IL · On-site

$125K/yr

... 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 ...

Hyphen Connect Limited

$109.30K - $149.50K/yr

Design and develop advanced algorithmic trading systems with a focus on ultra-low-latency execution. * Optimize and enhance existing trading strategies and systems. * Collaborate with quantitative ...

Qenexus

Quantitative Trader - Equity

Manhattan, NY · On-site

As a Quantitative Trader, you will utilize an in-house trading system--among the fastest and most ... Designing, implementing, and deploying trading algorithms * Exploring trading ideas by analyzing ...

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

As of Jun 4, 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.
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Weekend Algorithmic Trading Quant jobs near you
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.
Junior Algorithmic Trader

Junior Algorithmic Trader

TransMarket Group

Chicago, IL • On-site

Other

Posted 13 days ago

Job description

Description

Our Algorithmic Traders use their expert understanding of the financial markets and market microstructure to develop relative value arbitrage trading software and build and improve trading strategies. As a Junior Algorithmic Trader, you will have the opportunity to experience relative value arbitrage trading paired with innovative software. You will partner with Senior Traders to assist and learn all facets of automated trading. From researching and analyzing high-frequency tick data and trading performance, to building mathematical models and performing time series analysis, you will experience a deep dive into real-time trading and gain exposure to build your expertise. The ideal candidate is intellectually curious, technically analytical, and has the desire to learn and apply programming skills in a fast-paced environment (Python, C++). 

Responsibilities

  • Work with Senior Algorithmic Traders to assist and learn all facets of automated trading
  • Develop expertise in market microstructure, tick data, and automated trading systems
  • Learn and master object-oriented programming languages (C++ and Python)
  • Build and maintain trading quantitative model tools and analytics
  • Develop, code, maintain and support production quality automated trading softwares and strategies
  • Improve strategies and trade execution by performing post trade analyses and developing prediction models

Requirements

  • Pursuing a Bachelor's, Master's, or Doctorate in a technical field such as but not limited to STEM or Finance with a graduation date between December 2024 and Spring 2025 or 1-2 years pertinent industry experience 
  • Required courses: Data structures, Probability, Statistics and Linear Algebra
  • Minimum major GPA of 3.5/4 or equivalent scale
  • Proficiency and experience in object-oriented programming languages, C++, Python and/or Java preferred 
  • Proficiency and experience in Linux scripting are a plus
  • Demonstrated passion for markets, finance, and trading such as, but not limited to personal trading, participation in trading competitions, attendance at firm discover days, industry related student groups or clubs and/or prior internship experience preferred 
  • Project or internship experience in data analysis, quantitative modeling and/or machine learning
  • Passion for math and software applied to markets and trading
  • Strong understanding of computing, math, probability, statistics, and finance
  • Strong work ethic and willingness to do what it takes to get the job done
  • Excellent verbal and written communication skills
  • Ability to work within a team in a fast-paced environment
  • This position requires physical presence and is onsite at our office in Chicago, IL

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