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Algorithmic Trading Jobs in Pennsylvania (NOW HIRING)

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Algorithmic Trading information

See Pennsylvania salary details

$74.7K

$86K

$94.2K

How much do algorithmic trading jobs pay per year?

As of Aug 10, 2026, the average yearly pay for algorithmic trading in Pennsylvania is $85,955.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,200.00 and $91,200.00 per year, depending on experience, location, and employer.

What is algorithmic trading?

Algorithmic trading involves trading in equities, currencies, or other financial instruments using computer programs. A trading program uses an algorithm to calculate current market conditions. This trading method is automated, so the program buys or sells the financial instrument when the algorithm says that the market meets all the requirements for a profitable trade. To create an algorithm, you perform mathematical and statistical analysis, also known as quantitative analysis, on an exchange or equity. After creating an algorithm with defined trading rules, you test it using historical market data. While this is primarily a technical field, you also need an understanding of the market.

What is algorithmic trading?

Algorithmic trading refers to the use of computer programs and algorithms to automatically execute trading orders in financial markets. These algorithms follow predefined rules based on factors like price, timing, and volume to optimize trading strategies and reduce human intervention. Algorithmic trading is widely used by institutional investors, hedge funds, and individual traders to increase efficiency, minimize costs, and capitalize on market opportunities. It can range from simple rule-based systems to complex strategies involving machine learning and artificial intelligence.

What is the difference between Algorithmic Trading vs Quantitative Analyst?

AspectAlgorithmic TradingQuantitative 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-pacedInvestment banks, asset management firms; research-focused
Employer & Industry UsageUsed to automate trading strategiesDevelops models to inform trading decisions

While both roles involve quantitative skills and finance knowledge, Algorithmic Traders focus on implementing automated trading systems, whereas Quantitative Analysts develop models and strategies that may be used by traders or firms. The roles often overlap but differ mainly in their primary focus: execution versus modeling.

What are the main challenges faced by professionals in algorithmic trading, and how can they be addressed?

Professionals in algorithmic trading often encounter challenges such as developing strategies that remain effective in rapidly changing markets, minimizing latency for faster execution, and managing the risks associated with automated trading systems. To address these challenges, it's essential to stay updated with the latest market trends and technological advancements, conduct rigorous backtesting of algorithms, and implement robust risk management protocols. Collaboration with quantitative analysts, software engineers, and risk managers is also key to ensuring strategies are both innovative and resilient.

Do algorithmic traders make money?

Algorithmic traders can make money by developing and implementing automated trading strategies that exploit market opportunities. Success depends on skills in programming, quantitative analysis, and risk management, and profitability varies based on strategy performance and market conditions. Not all algorithmic traders are profitable, and many face significant competition and operational costs.

What are the key skills and qualifications needed to thrive as an algorithmic trader, and why are they important?

To thrive as an Algorithmic Trader, you need a strong background in quantitative analysis, programming (often Python, C++, or Java), and a solid understanding of financial markets, typically supported by a degree in mathematics, engineering, finance, or computer science. Familiarity with statistical modeling tools, trading platforms, and backtesting systems is essential, and certifications such as CFA or FRM can be advantageous. Superior problem-solving skills, attention to detail, and the ability to work under pressure set standout professionals apart in this field. These skills are crucial to developing, implementing, and refining trading strategies that can operate profitably and reliably in fast-moving financial environments.
What are the most commonly searched types of Algorithmic Trading jobs in Pennsylvania? The most popular types of Algorithmic Trading jobs in Pennsylvania are:
What are popular job titles related to Algorithmic Trading jobs in Pennsylvania? For Algorithmic Trading jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Algorithmic Trading jobs in Pennsylvania look for? The top searched job categories for Algorithmic Trading jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Algorithmic Trading jobs? Cities in Pennsylvania with the most Algorithmic Trading job openings:
Infographic showing various Algorithmic Trading job openings in Pennsylvania as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $85,955 per year, or $41.3 per hour.

Data Engineer | Sports | Experienced Hire - Susquehanna International Group

Susquehanna International Group

Bala Cynwyd, PA • On-site

$108K - $130K/yr

Full-time

Posted 18 days ago


Job description

Overview
Susquehanna is one of the world's leading options market makers, providing liquidity across global financial markets through cutting-edge technology, quantitative research, and deep trading expertise. We are looking for an experienced Quantitative Data Engineer to join our Prediction Markets team.
We specialize in geopolitical and sports analytics across the globe. This is an opportunity to build out a next gen sports trading system within an early-stage initiative focused on influential product development.
Technology is at the forefront of everything we do, requiring cutting-edge and innovative technology expertise. Our technologists at Susquehanna enjoy working on highly complex in-house software that runs on the most modern platforms available, solving a wide range of problems to help us grow. Our people continue to grow and learn throughout their careers as market demands change the nature of our environment, thanks to our flat structure and collaborative environment.
Join us and be part of a collaborative team that values continuous learning and growth. Are you passionate about sports wagering and trading? Do you thrive in a fast-paced, dynamic environment where innovation is at the forefront? If so, we have an exciting opportunity for you!
What You'll Do:
You will play a crucial role in designing, coding, and maintaining our next gen analysis and trading platform. You will work closely with Quantitative Researchers and other developers to:

  • Source and cleanse data, develop and maintain data pipelines as required by quant research and trading
  • Assist with researching new trading opportunities.
  • Develop, maintain and deploy interactive and packaged reports that will directly influence trading strategies
  • Performance-tune existing applications and processes, improve existing codebases and data flows to allow for efficient processing of large data sets

What We're Looking For:
  • Experience : Experience with numeric data storage methodologies. Experience with processing of large and varied data sets. Ability to understand mathematical algorithms and develop high-performance implementations Strong interpersonal and communication skills for interacting with traders, quantitative analysts, and other software developers.
  • Skills: Strong proficiency in the python data stack: NumPy, pandas, etc. and a solid understanding of Agile development methodologies. Experience with Kafka, Kubernetes and Cloud Computing is highly desired.
  • Education: PHD/MS/BS Degree in Computer Science or a related STEM field or equivalent practical experience at the senior level.
  • Interests: A keen interest in sports wagering, trading, and technology. Previous experience working within Trading, Sports Analytics or Sports Wagering industries is highly preferred.
  • Attributes: Self-motivated, detail-oriented, and able to adapt to changing priorities. Excellent interpersonal and communication skills.

What we're looking for
  • Experience : Experience with numeric data storage methodologies. Experience with processing of large and varied data sets. Ability to understand mathematical algorithms and develop high-performance implementations Strong interpersonal and communication skills for interacting with traders, quantitative analysts, and other software developers.
  • Skills: Strong proficiency in the python data stack: NumPy, pandas, etc. and a solid understanding of Agile development methodologies. Experience with Kafka, Kubernetes and Cloud Computing is highly desired.
  • Education: PHD/MS/BS Degree in Computer Science or a related STEM field or equivalent practical experience at the senior level.
  • Interests: A keen interest in sports wagering, trading, and technology. Previous experience working within Trading, Sports Analytics or Sports Wagering industries is highly preferred.
  • Attributes: Self-motivated, detail-oriented, and able to adapt to changing priorities. Excellent interpersonal and communication skills.

Why Join Us?
  • Innovative Environment: Work on a mixture of highly complex in-house software using the latest platforms.
  • Growth Opportunities: Continuous learning and career development in a flat, collaborative structure.
  • Mentorship: Work with industry veterans and technical experts who are passionate about mentoring and sharing their knowledge.
  • Perks: Excellent salary, benefits, and opportunities to attend world sporting events.
  • Team: Join a small but growing team of skilled and passionate researchers, quants, and developers.

About Susquehanna
Susquehanna is a global quantitative trading firm founded by a group of friends who share a passion for game theory and probabilistic thinking. We have incorporated this approach into our culture, where you will find relentless problem solvers within each of our core disciplines: Trading, Technology, and Quantitative Research. From offices around the world, our employees collaborate to make optimal decisions and are driven by the desire to achieve winning results together.
What we do
We are experts in trading essentially all listed financial products and asset classes, with a focus on derivatives trading. Through market making and market taking, we handle millions of trading transactions around the world every day, providing liquidity and ensuring competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialized, allowing for a deep understanding of unique drivers of each asset class.
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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