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Weekend Algorithmic Trading Quant Jobs in Philadelphia, PA

Operating at the intersection of quantitative investing, technology innovation, and client-first ... Knowledge of equity order types and algorithms. * Experience handling equity orders and/or working ...

Operating at the intersection of quantitative investing, technology innovation, and client-first ... Knowledge of equity order types and algorithms. * Experience handling equity orders and/or working ...

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Showing results 1-20

Weekend Algorithmic Trading Quant information

See Philadelphia, PA salary details

$53K

$120.2K

$198.3K

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

As of Aug 24, 2026, the average yearly pay for weekend algorithmic trading quant in Philadelphia, PA is $120,248.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,200.00 and $153,900.00 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 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 are the most commonly searched types of Algorithmic Trading Quant jobs in Philadelphia, PA?

The most popular types of Algorithmic Trading Quant jobs in Philadelphia, PA are:

What are popular job titles related to Weekend Algorithmic Trading Quant jobs in Philadelphia, PA?

For Weekend Algorithmic Trading Quant jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Weekend Algorithmic Trading Quant jobs in Philadelphia, PA look for?

The top searched job categories for Weekend Algorithmic Trading Quant jobs in Philadelphia, PA are:

Infographic showing various Weekend Algorithmic Trading Quant job openings in Philadelphia, PA as of June 2026, with employment types broken down into 3% As Needed, 12% Full Time, and 85% Part Time. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $120,248 per year, or $57.8 per hour.

Software Engineer | Trader & Quant Education Technology | Experienced Hire

SIG Susquehanna

Bala Cynwyd, PA โ€ข On-site

$90 - $120/hr

Other

Posted 6 days ago


Job description

Overview

The Education Technology (EdTech) team is a global, highly collaborative group dedicated to building cutting-edge systems that empower our traders and quants to learn, experiment, and excel. We develop integrations with Susquehanna's global trading platforms and strategies, delivering an educational ecosystem that simulates real-world trading environments and supports continuous quantitative learning.

As a Software Engineer on the EdTech team, youโ€™ll design, develop, and maintain large-scale systems that power our mock trading and quantitative education platforms. Youโ€™ll have the opportunity to shape system architecture, implement robust integrations, and create innovative tools that enhance the training experience for our traders and quantitative researchers worldwide.

Weโ€™re looking for an engineer who thrives in a fast-paced environmentโ€”someone who can think on their feet, independently drive projects from concept to deployment, and collaborate across disciplines to deliver impactful solutions all while keeping an open and flexible mind.

What Youโ€™ll Do:

  • Design, develop, and maintain scalable systems, services, and applications supporting global educational and mock trading platforms.
  • Collaborate with trading, quant, AI/ML teams to build integrations with live and simulated trading systems, build targeted training platform, and dive into our production systems.
  • Architect efficient data structures and algorithms to support performance-critical applications.
  • Contribute to system design and strategic technology decisions.
  • Support and improve our global infrastructure and environments.
What weโ€™re looking for
  • Strong programming and system design skills in an object-oriented language (C#, Java, or similar).
  • Solid understanding of algorithms, data structures, and software architecture.
  • Experience managing and supporting large-scale distributed systems.
  • Python proficiency is preferred.
  • A highly collaborative, open, explorative minset.
  • A proactive mindset and ability to take ownership of complex technical challenges while maintaining flexibility for rapidly changing priorities.
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