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Algorithmic Trading Jobs in Philadelphia, PA (NOW HIRING)

ECS

Radar Systems Engineer III

Moorestown, NJ · On-site

Radar signal-processing, algorithm development, and AESA hardware/beam-forming expertise; extensive ... Requirements definition, verification, and system architecture using DOORS/MBSE, SysML, and trade ...

SIG Susquehanna

Faculty Fellow

Bala Cynwyd, PA · On-site

$80 - $100/hr

... trading. At Susquehanna, our research leverages vast and diverse datasets, applying cutting‑edge ... Develop novel modeling techniques and adapt state-of-the-art algorithms to unique challenges in ...

New

ASRC Federal Holding

Senior Systems Engineer

Moorestown, NJ · On-site

$106K - $180K/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 Trading JobsAlgorithmic Trading Jobs in Philadelphia, PA

Algorithmic Trading information

See Philadelphia, PA salary details

$75.2K

$86.5K

$94.9K

How much do algorithmic trading jobs pay per year?

As of Aug 19, 2026, the average yearly pay for algorithmic trading in Philadelphia, PA is $86,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,700.00 and $91,800.00 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 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 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.

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.

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Cities near Philadelphia, PA with the most Algorithmic Trading job openings:

Algorithmic Trading jobs near you
Infographic showing various Algorithmic Trading job openings in Philadelphia, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $86,529 per year, or $41.6 per hour.

Quantitative/Data Developer | Fixed Income | Experienced Hire

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Other

Re-posted 10 days ago

Job description

Overview
Susquehanna is seeking a Quantitative Developer with experience in Python to join our Fixed Income Technology Team.
This team focuses primarily on trading interfaces and technologies to empower the sales desk. You'll work alongside traders, quant analysts, and other technology teams to create, maintain, and enhance our proprietary trading systems.
In this role, you will:
  • Design and create proprietary software to handle mission critical trading demands, including but not limited to market data, quoting, pricing, risk, and P&L.
  • Work closely with traders and analysts to understand and iterate on requirements.
  • Work closely with various technology teams to deliver efficient and scalable solutions in a fast paced environment, which directly impacts production systems.

What we're looking for
  • At least 3 years of experience developing data tools and applications in Python is required.
  • Experience with the Python data science stack: NumPy, Pandas etc. and/or other array-oriented programming environments.
  • Prior experience in a Quant Developer role, with the ability to understand financial models and mathematical algorithms, preferred.
  • Strong interpersonal and communication skills for interacting with traders, quantitative analysts, and other software developers is required.
  • Interest in areas such as capital markets, probability, game theory and the application of IT solutions to these areas is a plus.
  • Minimum Bachelor's degree in CS, applied science, or similar preferred, advanced degree a plus.

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 Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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