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$39.5K

$96.8K

$269.5K

How much do systematic trader jobs pay per year?

As of Jul 3, 2026, the average yearly pay for systematic trader in the United States is $96,774.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $105,500.00 per year, depending on experience, location, and employer.

How much do Citadel systematic traders make?

Systematic traders at Citadel typically earn base salaries ranging from $100,000 to $200,000, with total compensation often exceeding $1 million annually when including bonuses and profit sharing. Compensation depends on experience, performance, and the firm's trading success, and it often includes performance-based incentives and benefits.

What is systematic trading?

Systematic trading is a method used by traders, including systematic traders, that relies on computer algorithms and quantitative models to execute trades based on predefined rules. It involves analyzing data, developing trading strategies, and automating order execution to remove emotional bias and improve consistency in trading decisions.

What does a systematic trader do?

A systematic trader develops and implements trading strategies using algorithms and quantitative models to execute trades automatically. They analyze large data sets, use programming languages like Python or R, and often work in fast-paced environments to identify trading opportunities and manage risk efficiently.

How does a Systematic Trader typically collaborate with other teams within a trading firm?

Systematic Traders frequently collaborate with quantitative researchers, software engineers, and risk managers to design, implement, and refine trading algorithms. This collaboration ensures that trading strategies are both mathematically sound and efficiently executed in real-time markets. Regular meetings and communication help align goals, share market insights, and troubleshoot any technical or performance issues. Working closely with these teams allows Systematic Traders to stay updated on the latest technology and methodologies, ultimately improving trading performance.

Is 30 too old to become a trader?

Systematic traders can start at any age, including 30, as success depends on skills, knowledge, and experience rather than age. Many traders enter the field later in life, leveraging analytical skills, programming, and risk management, which are essential in systematic trading. Continuous learning and adapting to market tools are important regardless of age.

What is the difference between Systematic Trader vs Quantitative Analyst?

AspectSystematic TraderQuantitative Analyst
Required CredentialsDegree in finance, mathematics, or computer science; experience with trading algorithmsDegree in finance, mathematics, or statistics; strong programming skills
Work EnvironmentTrading firms, hedge funds, proprietary trading desksFinancial institutions, investment banks, asset management firms
Primary FocusDeveloping and executing trading strategies based on algorithmsBuilding models to analyze financial data and inform trading decisions

While both roles require quantitative skills and programming knowledge, a Systematic Trader primarily focuses on implementing trading strategies in live markets, whereas a Quantitative Analyst emphasizes developing models and analytics to support trading decisions. The roles often overlap but differ in their core responsibilities and day-to-day activities.

What is a systematic trader?

A systematic trader is a financial professional who uses quantitative models and computer algorithms to make trading decisions in financial markets. Rather than relying on intuition or discretionary analysis, systematic traders develop and follow predefined rules based on data analysis, mathematical models, and backtesting. Their strategies can be applied to various asset classes, including stocks, bonds, currencies, and derivatives, with the goal of achieving consistent and repeatable results. Systematic trading helps remove emotional biases and can be automated to execute trades quickly and efficiently.

What are the key skills and qualifications needed to thrive as a Systematic Trader, and why are they important?

To thrive as a Systematic Trader, you need strong quantitative analysis skills, programming proficiency (often in Python, C++, or R), and a solid background in mathematics, statistics, or finance. Experience with trading platforms, backtesting software, and data analytics tools is typically required, along with familiarity with financial regulations. Exceptional problem-solving abilities, attention to detail, and adaptability are critical soft skills for staying ahead in rapidly changing markets. These skills and qualities are vital for designing, executing, and refining automated trading strategies that consistently perform in dynamic financial environments.
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What cities are hiring for Systematic Trader jobs? Cities with the most Systematic Trader job openings:
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Systematic Trader jobs near you
Infographic showing various Systematic Trader job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 3% As Needed, 94% Full Time, and 2% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $96,774 per year, or $46.5 per hour.
Quantitative Researcher - Master's: 2027

Quantitative Researcher - Master's: 2027

Susquehanna International Group, LLP

New York, NY • On-site

$250K - $300K/yr

Full-time

Posted 4 days ago

Job description

Overview
As a Quantitative Researcher at Susquehanna, you'll blend strong research capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives, including large-scale data analysis, alpha signal research, and strategy performance enhancement. While there is some overlap with the Quantitative Systematic Trader role, Quantitative Researchers typically focus more on model development, robustness, and long-term reliability.
What you can expect
  • Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate alphas. Propose improvements or optimize existing strategies
  • Evaluation. Backtest ideas using historical market data and large research clusters
  • 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 systematic traders and technologists to push strategies into production

What we're looking for
  • Masters graduating by Summer 2026 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

By applying to this role, you will be automatically considered for the Quantitative Systematic Trader position. There is no need to apply to both positions to be considered for both.
Opportunities as a Quantitative Researcher and as a Quantitative Systematic Trader will be available in our Philadelphia and New York offices.
The annual base pay range for this role is $250,000-$300,000. Susquehanna considers factors such as scope and responsibilities of the position, work experience, education/training, key skills, as well as market and organizational considerations when extending an offer.
Visa sponsorship is available for this position.
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 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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