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Quantitative Trading Developer Jobs (NOW HIRING)

Trading Interview

Blend quantitative signals with trading intuition and live market insights to optimize existing ... Programmers comfortable processing and analyzing large data sets in Python; experience with C++ (or ...

Trading Interview

$250K/yr

As a Quantitative Trading Analyst Intern , you will gain exposure to the dynamic worlds of trading ... Proficient programming in Python * Are self-motivated, enjoy challenges and significant ...

Wolverine

Quantitative Trading Analyst

Chicago, IL · On-site

Computer programming experience is highly desirable * Exceptional analytical and problem-solving ... Wolverine Trading's total compensation model includes base salary and an annual discretionary bonus.

Trading Interview

Blend quantitative signals with trading intuition and live market insights to optimize existing ... Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics

Trading Interview

... programming. Through your research, you will discover new patterns that transform into trading ... Advanced Degree in a quantitative field such as Mathematics, Physics, Statistics, Electrical ...

Edgehog Trading

Quantitative Researcher

Chicago, IL · On-site

Our team spans trading, engineering, and business operations, working together to build and support ... Design, backtest, and iterate on quantitative trading models from ideation through production ...

Edgehog Trading

Quantitative Researcher

Chicago, IL · On-site

Our team spans trading, engineering, and business operations, working together to build and support ... Design, backtest, and iterate on quantitative trading models from ideation through production ...

JPMorgan Chase & Co.

As a Vice President on our Credit Quantitative Trading and Research team, you will have the ... A post-graduate degree in a STEM discipline (e.g., Mathematics, Physics, Engineering, Computer ...

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Quantitative Trading Developer information

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$98K

$169.7K

$259.5K

How much do quantitative trading developer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for quantitative trading developer in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What is a quantitative trading developer?

A Quantitative Trading Developer is a professional who designs, develops, and implements automated trading strategies using mathematical models, statistical analysis, and programming skills. They work closely with quantitative analysts and traders to transform trading ideas into code that can execute trades in financial markets. These developers typically use programming languages like Python, C++, or Java to build high-performance trading systems that can handle large volumes of market data and execute trades with minimal latency. Their role is crucial in leveraging technology to gain a competitive edge in financial markets.

What are the key skills and qualifications needed to thrive as a quantitative trading developer?

To thrive as a Quantitative Trading Developer, you need strong programming skills (especially in Python, C++, or Java), a solid background in mathematics or statistics, and typically a degree in computer science, engineering, or a related quantitative field. Familiarity with trading platforms, financial data APIs, version control systems like Git, and experience with low-latency systems or high-frequency trading infrastructure is highly valued. Analytical thinking, problem-solving, and effective teamwork are crucial soft skills for building robust and innovative trading solutions. These skills and qualities are vital for developing, testing, and deploying algorithms that perform efficiently and reliably in fast-paced financial markets.

What are some common challenges faced by quantitative trading developers when implementing trading algorithms in a live environment?

Quantitative Trading Developers often face challenges such as managing latency, ensuring data integrity, and handling real-time risk management when deploying algorithms in live markets. Transitioning from a simulation or backtest to a live trading environment can reveal issues like unexpected market conditions, slippage, or connectivity problems that may not have been apparent during development. Collaboration with traders, system engineers, and risk managers is essential to quickly diagnose and resolve production issues, making adaptability and strong communication skills crucial for success in this role.

What is the difference between Quantitative Trading Developer vs Quantitative Analyst?

AspectQuantitative Trading DeveloperQuantitative Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related field; programming skills (Python, C++, Java)Degree in Finance, Economics, Mathematics; strong analytical skills
Work EnvironmentCollaborates with traders and developers; focuses on building trading systemsAnalyzes market data; develops models for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, proprietary trading firmsInvestment banks, asset management firms, hedge funds

In summary, Quantitative Trading Developers primarily focus on building and maintaining trading systems using programming skills, while Quantitative Analysts concentrate on developing models and analyzing data to inform trading decisions. Both roles are essential in quantitative finance but differ in their core responsibilities and skill sets.

What cities are hiring for Quantitative Trading Developer jobs?

Cities with the most Quantitative Trading Developer job openings:

What states have the most Quantitative Trading Developer jobs?

States with the most job openings for Quantitative Trading Developer jobs include:

What are popular job titles related to Quantitative Trading Developer jobs?

For Quantitative Trading Developer jobs, the most frequently searched job titles are:

Quantitative Trading Developer jobs near you

Quantitative Systematic Trader - PhD: 2027

On-site

Trading Interview
See more jobs at Trading Interviewexternal

Other

Posted 24 days ago

Job description

Job Type Full-time

Posted 2 months ago

The role

Job descriptionOverview

As a Quantitative Systematic Trader at Susquehanna, you’ll combine quantitative research expertise with deep trading intuition to build and refine data-driven, fully automated trading strategies. You’ll actively monitor real-time strategy performance and use market behavior and feedback to improve and optimize profitability. Serving as a hybrid between traders and researchers, Quantitative Systematic Traders focus more on alpha monetization, execution efficiency, and live trading performance.

What you can expect
  • Modelling. Apply probability theory, statistical analysis, and machine learning techniques to analyze and interpret market behavior
  • Alpha Monetization. Blend quantitative signals with trading intuition and live market insights to optimize existing strategies or build new ones from the ground up
  • Risk Management. Oversee the deployment and real-time operation of trading strategies, fine-tune parameters, and respond to anomalies as needed
  • Education. Participate in a comprehensive education program and receive personalized mentorship from senior professionals to accelerate your growth
  • Collaboration. Work in an open environment that allows you to collaborate with researchers and technologists to build parts of the execution engine
What we're looking for
  • PhDs graduating by Summer 2026 or postdocs in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics
  • Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
  • Clear communicators in a fast-paced and highly collaborative environment
  • Programmers comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus
  • Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
  • Self-motivated and quick to learn, thriving in dynamic, fast-moving environment
  • Strong Trading Interest and drive to develop a deep mental model of microstructure and market intuition

Visa sponsorship is available for this position.

By applying to this role, you will be automatically considered for the Quantitative Research position. There is no need to apply to both positions to be considered for both.

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.

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SIG is a global quantitative trading firm founded with an entrepreneurial mindset and a rigorous analytical approach to decision making. As one of the largest proprietary trading firms in the…

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