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Quant Engineer Jobs in Philadelphia, PA (NOW HIRING)

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Quant Engineer information

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$38.3K

$91.4K

$151.9K

How much do quant engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for quant engineer in Philadelphia, PA is $91,361.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,100.00 and $100,900.00 per year, depending on experience, location, and employer.

What is a quant engineer?

Quant Engineers, or quantitative engineers, are professionals who apply mathematical models, statistical techniques, and computer programming to solve complex problems in finance and related industries. They often work on designing trading algorithms, risk management tools, and pricing models for financial instruments. Quant Engineers typically have strong backgrounds in mathematics, computer science, and finance, and are skilled in programming languages such as Python, C++, or R. Their work helps financial firms make data-driven decisions and optimize strategies in highly competitive markets.

How do quant engineers typically collaborate with traders and other team members to develop and implement trading strategies?

Quant Engineers work closely with traders, researchers, and software developers to design, test, and refine quantitative trading models. They often translate mathematical models into efficient code, analyze large datasets, and ensure strategies are both robust and scalable for real-time trading environments. Frequent communication is key, as Quant Engineers must gather requirements from traders, iteratively backtest ideas, and adapt models based on feedback and market changes. This collaborative process helps ensure strategies are both scientifically sound and practically viable for deployment.

What are the key skills and qualifications needed to thrive as a quant engineer, and why are they important?

To thrive as a Quant Engineer, you need strong quantitative and programming skills, typically supported by a degree in mathematics, physics, computer science, or a related field. Proficiency in programming languages such as Python, C++, or Java, as well as familiarity with statistical analysis tools and financial modeling systems, is essential. Analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills enable Quant Engineers to develop robust models and algorithms that drive accurate trading strategies and risk management in fast-paced financial environments.

What is the difference between Quant Engineer vs Quant Analyst?

AspectQuant EngineerQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires programming skillsDegree in Finance, Economics, or Math; less emphasis on programming
Work EnvironmentDevelops models, algorithms, and software tools for trading and risk managementAnalyzes data, interprets models, and provides insights for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial firms, asset management, hedge funds

While both roles involve quantitative analysis, Quant Engineers focus on building and implementing models and software, whereas Quant Analysts primarily analyze data and interpret models to inform trading decisions. The roles often overlap but differ in technical depth and responsibilities.

What are popular job titles related to Quant Engineer jobs in Philadelphia, PA?

For Quant Engineer jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Quant Engineer jobs in Philadelphia, PA look for?

The top searched job categories for Quant Engineer jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Quant Engineer jobs?

Cities near Philadelphia, PA with the most Quant Engineer job openings:

Quant Engineer jobs near you
Infographic showing various Quant Engineer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $91,361 per year, or $43.9 per hour.

Quantitative Research Internship - PhD: Summer 2027

Susquehanna

Bala Cynwyd, PA • On-site

$8.6K/wk

Other

Posted 10 days ago

Job description

Overview

As a Quantitative Research Intern at Susquehanna, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors who are at the top of their field, allowing you to build foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy.

What you can expect

  • Modelling: Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas
  • Execution: Create strategies to execute on modelling ideas under simulated competition
  • Evaluation: Backtest ideas using historical market data and revise strategies
  • Breadth: Explore all aspects of quant work and different areas of Susquehanna's business
  • Education: Participate in a comprehensive education program and receive personalized mentorship from experienced professionals to accelerate your growth
  • Collaboration: Work in an open environment that allows you to collaborate with multiple teams and get exposure to different groups and parts of the business

Susquehanna combines all of the above to provide the best quant internship program in the industry. Join us to see why so many previous quant interns decide to return for a full-time career.

What we're looking for

  • PhDs (in penultimate or final year) in quantitative fields such as mathematics, physics, statistics, electrical engineering, computer science, operations research, or economics
  • Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
  • Clear communicators in a fast-paced and highly collaborative environment
  • Programmers comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus
  • Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
  • Self-motivated and quick to learn, thriving in dynamic, fast-moving environment

By applying to this role, you will be automatically considered for the Quantitative Systematic Trading Internship program. There is no need to apply to both positions to be considered for both.

Opportunities as a quantitative research intern will be available in our Philadelphia and New York offices.

PhD quantitative research interns will receive a $8600 weekly base salary during the ten-week program. In addition, interns will receive a signing bonus, housing, breakfast and lunch, and other perks.

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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