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Quantitative Trading Strategist Jobs (NOW HIRING)

Trading Interview

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 ...

Trading Interview

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 ...

Virtu Financial

$5.0K - $5.8K/wk

They work closely with our quants and software engineers to enhance and further develop the firm's trading strategies. Quantitative Traders become experts in Virtu's trading technology and its ...

Trading Interview

Belvedere Trading is a leading proprietary trading firm proudly headquartered in downtown Chicago ... strategies, and quantitative research. If you love technology and financial markets, then this ...

Jane Street

Quantitative Trader

New York, NY · On-site

Trading Strategy and Scenarios You'll be introduced to a rotating set of new trading scenarios ... A strong quantitative thinker (no specific degree or major is required) * A clear and effective ...

Jane Street

Quantitative Trader

New York, NY · On-site

Trading Strategy and Scenarios You'll be introduced to a rotating set of new trading scenarios ... A strong quantitative thinker (no specific degree or major is required) * A clear and effective ...

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$45K

$139.9K

$177.5K

How much do quantitative trading strategist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for quantitative trading strategist in the United States is $139,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $157,000.00 per year, depending on experience, location, and employer.

What is a quantitative trading strategist?

A Quantitative Trading Strategist is a finance professional who uses mathematical models, statistical analysis, and computer algorithms to develop trading strategies for financial markets. They analyze large datasets to identify patterns, backtest trading ideas, and optimize portfolios for risk and return. These strategists often work closely with software engineers and traders to implement and refine automated trading systems. Their goal is to create data-driven solutions that maximize profits and reduce risks for investment firms or hedge funds.

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

To excel as a Quantitative Trading Strategist, you need strong quantitative and analytical skills, advanced knowledge of mathematics or statistics, and typically a degree in a quantitative field such as finance, physics, engineering, or computer science. Expertise in programming languages like Python, R, or C++, familiarity with statistical modeling software, and experience with trading platforms are commonly required. Critical thinking, attention to detail, and effective communication are essential soft skills for collaborating with teams and interpreting complex data. These abilities are crucial for developing profitable trading strategies, managing risk, and thriving in the fast-paced financial markets.

How do quantitative trading strategists typically collaborate with software engineers and data scientists in their daily work?

Quantitative Trading Strategists work closely with software engineers and data scientists to develop, implement, and refine trading algorithms. While strategists focus on designing and backtesting quantitative models, they rely on software engineers to optimize code for speed and reliability in live trading environments, and on data scientists for sourcing, cleaning, and analyzing large datasets. Effective collaboration often involves regular meetings, code reviews, and shared research, ensuring that strategies are both theoretically sound and practically viable. This teamwork helps accelerate innovation and maintain a competitive edge in the fast-paced trading industry.
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Quantitative Trading Strategist jobs near you
Infographic showing various Quantitative Trading Strategist job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 82% Full Time, 15% Part Time, and 1% Contract. Highlights an 70% Physical, 5% Hybrid, and 25% Remote job distribution, with an average salary of $139,867 per year, or $67.2 per hour.

Quantitative Systematic Trader - PhD: 2027

On-site

Trading Interview
See more jobs at Trading Interviewexternal

Other

Posted 25 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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