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Algorithmic Trader Jobs in Philadelphia, PA (NOW HIRING)

asrcfh

Associate Systems Engineer

Moorestown, NJ

Demonstrated experience in one or more of the following areas: architecture, requirements development, trade studies, algorithm design, or modeling and simulation * Proficiency in C++, Java, MATLAB ...

asrcfh

Systems Engineer

Moorestown, NJ · On-site

Demonstrated experience in one or more of the following areas: architecture, requirements development, trade studies, algorithm design, or modeling and simulation * Proficiency in C++, Java, MATLAB ...

asrcfh

Systems Engineer

Moorestown, NJ · On-site

Demonstrated experience in one or more of the following areas: architecture, requirements development, trade studies, algorithm design, or modeling and simulation * Proficiency in C++, Java, MATLAB ...

asrcfh

Senior Systems Engineer

Moorestown, NJ · On-site

$103K - $141K/yr

Demonstrated experience in one or more of the following areas: architecture, requirements development, trade studies, algorithm design, or modeling and simulation * Proficiency in C++, Java, MATLAB ...

asrcfh

Associate Systems Engineer

Moorestown, NJ · On-site

Demonstrated experience in one or more of the following areas: architecture, requirements development, trade studies, algorithm design, or modeling and simulation * Proficiency in C++, Java, MATLAB ...

asrcfh

Senior Systems Engineer

Moorestown, NJ · On-site

$103K - $141K/yr

Demonstrated experience in one or more of the following areas: architecture, requirements development, trade studies, algorithm design, or modeling and simulation * Proficiency in C++, Java, MATLAB ...

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All JobsAlgorithmic Trader JobsAlgorithmic Trader Jobs in Philadelphia, PA

Algorithmic Trader information

See Philadelphia, PA salary details

$39.9K

$97.7K

$271.9K

How much do algorithmic trader jobs pay per year?

As of Aug 14, 2026, the average yearly pay for algorithmic trader in Philadelphia, PA is $97,653.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $106,500.00 per year, depending on experience, location, and employer.

How do you become an algorithmic trader?

To become an algorithmic trader, you typically need a strong background in mathematics, programming, and finance, often holding a degree in a related field such as computer science, engineering, or finance. Developing skills in programming languages like Python or C++, understanding trading strategies, and gaining experience with trading platforms and data analysis are essential. Many algorithmic traders also pursue certifications or advanced degrees to enhance their knowledge and credibility.

What are the key skills and qualifications needed to thrive as an algorithmic trader?

To thrive as an Algorithmic Trader, you need a strong background in mathematics, statistics, programming (often Python, C++, or R), and a solid understanding of financial markets, usually supported by a relevant degree. Familiarity with trading platforms, backtesting frameworks, and data analysis tools, plus certifications like CFA or FRM, are commonly required. Strong analytical thinking, attention to detail, and the ability to work under pressure are vital soft skills for success in this fast-paced environment. These skills enable traders to develop effective, automated strategies that capitalize on market opportunities while managing risk efficiently.

What are some typical challenges faced by algorithmic traders in their day-to-day work?

Algorithmic traders often encounter challenges such as maintaining and updating trading algorithms to adapt to rapidly changing market conditions, ensuring low-latency execution, and managing the risks associated with automated trading. Collaborating closely with quantitative analysts, software engineers, and risk managers is essential to refine strategies and troubleshoot technical issues. Staying compliant with regulatory requirements and monitoring for unexpected market behaviors or system errors are also important aspects of the role.

What is an algorithmic trader?

An algorithmic trader is a financial professional who uses computer algorithms to automate trading strategies in financial markets. These traders develop, test, and implement mathematical models that analyze market data and execute trades at speeds and frequencies impossible for humans. Algorithmic traders work in environments such as investment banks, hedge funds, and proprietary trading firms, and their goal is often to maximize returns while managing risk. They typically need strong skills in programming, quantitative analysis, and finance.

What is the difference between Algorithmic Trader vs Quantitative Analyst?

AspectAlgorithmic TraderQuantitative Analyst
Required CredentialsDegree in finance, computer science, or related field; programming skillsDegree in mathematics, statistics, or finance; strong analytical skills
Work EnvironmentTrading firms, hedge funds, financial institutions; fast-pacedFinancial institutions, research firms; analytical and research-focused
Employer & Industry UsageUsed primarily in trading and investment firmsUsed in asset management, hedge funds, and investment banks

While both roles require strong quantitative skills and programming knowledge, Algorithmic Traders focus on developing and executing trading algorithms in real-time markets, whereas Quantitative Analysts primarily develop models and strategies for investment decision-making. The roles often overlap but differ mainly in their focus on trading execution versus model development.

What are the most commonly searched types of Algorithmic Trader jobs in Philadelphia, PA?

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

What are popular job titles related to Algorithmic Trader jobs in Philadelphia, PA?

For Algorithmic Trader jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Algorithmic Trader jobs in Philadelphia, PA look for?

The top searched job categories for Algorithmic Trader jobs in Philadelphia, PA are:

Algorithmic Trader jobs near you
Infographic showing various Algorithmic Trader job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $97,653 per year, or $46.9 per hour.

Machine Learning Researcher

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time

Re-posted 16 days ago

Job description

Overview
Susquehanna is expanding the Machine Learning group and seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language understanding, and more. Your work will directly influence our trading strategies and decision-making processes. This is a unique opportunity to work at the intersection of cutting-edge research and real-world impact, leveraging one of the highest-quality financial datasets in the industry.
We're looking for research scientists with a proven track record of applying deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature engineering, and hyperparameter tuning to produce resilient and high-performing models.
What you'll do
  • Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and scalable deployment
  • Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
  • Design and run experiments using the latest ML tools and frameworks
  • Develop automation tools to streamline research and system development
  • Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
  • Partner with engineering teams to implement and test models in production environments

What we're looking for
  • PhD in computer science, machine learning, mathematics, physics, statistics, or a related field
  • Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems
  • A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
  • Strong programming skills in Python and/or C++
  • Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments
  • Hands-on experience applying deep learning on time series data
  • Strong foundation in mathematics, statistics, and algorithm design
  • Excellent problem-solving skills with a creative, research-driven mindset
  • Demonstrated ability to work collaboratively in team-oriented environments
  • A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment

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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