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Python Quantitative Algorithmic Trading Jobs in Cinnaminson, NJ

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Python Quantitative Algorithmic Trading information

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$98.6K

$170.8K

$261.1K

How much do python quantitative algorithmic trading jobs pay per year?

As of Sep 1, 2026, the average yearly pay for python quantitative algorithmic trading in Cinnaminson, NJ is $170,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,300.00 and $200,200.00 per year, depending on experience, location, and employer.

What is Python quantitative algorithmic trading?

Python Quantitative Algorithmic Trading refers to the use of Python programming to develop, test, and implement mathematical models and automated strategies for trading financial instruments. Professionals in this field use quantitative analysis, statistical techniques, and historical data to create algorithms that can execute trades on financial markets without human intervention. Python is widely favored due to its robust libraries, ease of use, and strong community support, making it ideal for handling large datasets and rapid prototyping of trading strategies.

What are the key skills and qualifications needed to thrive as a Python quantitative algorithmic trader?

To thrive as a Python Quantitative Algorithmic Trader, you need strong quantitative analysis, programming expertise (especially in Python), and a solid background in mathematics, statistics, or finance, often supported by a relevant degree. Familiarity with financial data platforms, algorithmic trading systems, and libraries such as pandas, NumPy, and scikit-learn, as well as experience with backtesting frameworks, is essential. Critical thinking, attention to detail, and effective communication help you interpret data, manage risk, and collaborate with team members. These skills ensure effective strategy development, implementation, and adaptation in fast-moving financial markets.

What are some common challenges faced by Python quantitative algorithmic traders, and how can job seekers prepare to overcome them?

Python quantitative algorithmic traders often face challenges such as rapidly changing market conditions, ensuring code efficiency for low-latency execution, and maintaining data integrity across large datasets. Additionally, traders must continuously backtest strategies to avoid overfitting and adapt to evolving regulatory requirements. To prepare, job seekers should strengthen their coding skills with a focus on performance optimization, familiarize themselves with financial data handling, and stay current with industry best practices in both technology and trading strategy development.

What is the difference between Python Quantitative Algorithmic Trading vs Python Quantitative Trading Analyst?

AspectPython Quantitative Algorithmic TradingPython Quantitative Trading Analyst
CredentialsDegree in Computer Science, Finance, or related fields; coding certificationsDegree in Finance, Economics, or related fields; strong analytical skills
Work EnvironmentDeveloping algorithms, coding, backtesting strategiesAnalyzing market data, supporting trading strategies, reporting
Industry UsageFinancial firms, hedge funds, proprietary trading firmsAsset management firms, trading desks, financial institutions

Python Quantitative Algorithmic Traders focus on designing and implementing automated trading algorithms using programming skills, while Python Quantitative Trading Analysts analyze data and support trading strategies without necessarily coding the algorithms themselves. Both roles require strong quantitative skills and familiarity with Python, but their daily tasks and responsibilities differ significantly.

What cities near Cinnaminson, NJ are hiring for Python Quantitative Algorithmic Trading jobs?

Cities near Cinnaminson, NJ with the most Python Quantitative Algorithmic Trading job openings:

Python Quantitative Algorithmic Trading jobs near you
Infographic showing various Python Quantitative Algorithmic Trading job openings in Cinnaminson, NJ as of August 2026, with employment types broken down into 2% Internship, 78% Full Time, 10% Part Time, and 10% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $170,794 per year, or $82.1 per hour.

Quantitative Developer | Core Data Sets | Experienced Hire

Philadelphia, PA • On-site

Susquehanna International Group, LLP
Finance and Insurance • 1 - 5K employees
Learn more about Susquehanna International Group, LLPexternal

Full-time

Re-posted 17 days ago

Job description

Overview
The Quant Core Data team is looking for an engineer with significant Python experience who has a deep appreciation for performance and scalability to help build data flows used globally by our Quant Researchers & Strategists.
In this role, you will:
  • Design, develop, and scale our data framework with an eye for efficiency and robustness
  • Build packages used exclusively by expert users to evolve our signal generation technology
  • Have greenfield development opportunities to optimize existing tooling from scratch

What we're looking for
  • At least 3+ years of experience in Python or C++, developing software with strict performance requirements
  • A deep appreciation for performance and benchmarking, including experience in large scale computing problems and performance trade-offs
  • Strong systems fundamentals (virtual memory, numa, io, networking, etc.)
  • Deep Linux knowledge
  • Experience in Python data analysis and/or low level Python
  • Strong understanding of data structures and algorithms
  • Enthusiasm for working with data, especially large sets of data; good aesthetics for cleanliness and correctness in data
  • Bachelor's degree in Computer Science, Engineering, Mathematics or related discipline or its foreign equivalent; advanced degree is preferred

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.
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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