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Algorithmic Trading Jobs in Philadelphia, PA (NOW HIRING)

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Algorithmic Trading information

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$75.2K

$86.5K

$94.9K

How much do algorithmic trading jobs pay per year?

As of Jul 29, 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.

How to become an algorithmic trader?

To become an algorithmic trader, you should develop strong programming skills in languages like Python or C++, gain knowledge of financial markets and trading strategies, and learn to use trading platforms and data analysis tools. A background in mathematics, statistics, or computer science is often essential, and many traders pursue certifications such as the Chartered Market Technician (CMT) or Financial Risk Manager (FRM). Experience with backtesting and risk management is also important for success in this field.

Is algo trading a good career?

Algorithmic trading is a specialized career that involves developing and implementing automated trading strategies using programming skills, data analysis, and financial knowledge. It can be lucrative and in demand in financial firms, but it requires strong technical expertise, continuous learning, and understanding of market regulations. Success in this field depends on technical proficiency, risk management, and staying updated with market trends.

Who is the richest Algo trader in the world?

Algorithmic trading is a specialized finance role involving the use of algorithms and programming skills to execute trades. While individual net worth is often private, some of the most successful algorithmic traders and quant hedge fund managers, such as Jim Simons, have accumulated significant wealth through quantitative strategies and advanced data analysis. These professionals typically work in high-frequency trading firms or hedge funds and require strong mathematical, programming, and financial skills.

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.

Can I make money with algorithmic trading?

Algorithmic trading professionals develop and implement automated trading strategies that can generate profits if the algorithms are well-designed and market conditions are favorable. Success depends on skills in programming, data analysis, and risk management, and consistent profitability is not guaranteed. Many traders experience both gains and losses, and ongoing testing and optimization are essential for potential profitability.

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.
More about Algorithmic Trading jobs
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What cities near Philadelphia, PA are hiring for Algorithmic Trading jobs? 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 July 2026, with employment types broken down into 1% Internship, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $86,529 per year, or $41.6 per hour.
Senior Compliance Officer - Equities

Senior Compliance Officer - Equities

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time

Posted 2 days ago

Job description

Overview
We are seeking a highly motivated individual to join our team as a Senior Compliance Officer. In this role, the individual will provide real-time regulatory guidance and oversight to the firm's equities trading and sales teams. The role ensures that business activities across the equities product spectrum comply with relevant regulatory requirements and internal policies. The position requires strong product knowledge, excellent communication skills, and the ability to translate regulatory expectations into practical and relevant guidance. The successful candidate will partner closely with front-office stakeholders, manage regulatory risk, support surveillance and control frameworks, and contribute to a strong culture of compliance.
In this role, you will:
  • Collaborate with the business to enhance processes, drive efficiencies, and support strategic growth initiatives.
  • Advise on regulatory considerations for new business initiatives, algorithmic trading, complex transactions, and desk-level enhancements.
  • Support new system and platform implementations, regulatory change initiatives, and control enhancements.
  • Prepare documentary support, coordinate with internal groups, and help draft responses to regulatory inquiries and requests for information.
  • Develop and maintain relationships with senior business stakeholders.
  • Provide day to day guidance on regulatory questions, trading rules, market conduct, and policy interpretation.
  • Identify emerging risks related to market structure, regulatory change, or product development.
  • Work closely with other members of the trading compliance team in the US and globally, ensuring coordination and collaboration.

What we're looking for
  • 5-10+ years of compliance experience within equities markets
  • Strong understanding of equities products and market structure (e.g., cash equities, ETFs, options exposure, electronic/algorithmic trading).
  • Working knowledge of relevant regulations, including:
    Exchange Act rules, SEC and FINRA regulations, Regulation NMS, Regulation SHO, Rule 10b-5, market abuse frameworks, and equity trading/reporting requirements.
  • Excellent judgment, communication skills, and ability to provide concise, practical advice
  • Experience interacting with traders and senior business stakeholders
  • Relevant licenses (e.g., Series 7, 24) or willingness to obtain

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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