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Weekend Algorithmic Trading Quant Jobs in Philadelphia, PA

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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 Jul 31, 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 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.
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:
Weekend Algorithmic Trading Quant jobs near you
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

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time

Re-posted 13 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, you'll design, develop, and maintain large-scale systems that power our mock trading and quantitative education platforms. You'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.
We're looking for an engineer who thrives in a fast-paced environment-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 You'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 we're looking for
  • Strong programming and system design skills in an object-oriented language (C#, Java, or similar).
  • 6+ years of experience
  • 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.

About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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