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Quantitative Trader Jobs (NOW HIRING)

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Quantitative Trader (ETF)

Chicago, IL · On-site

$170K - $200K/yr

Utilize advanced trading platforms and tools to enhance trading efficiency. Requirements: * An undergraduate or an advanced degree in a quantitative field such as computer science, engineering, or ...

Tower Research Capital

$120K - $200K/yr

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track ...

GTS

Quantitative Trader/Researcher - Futures

Manhattan, NY · Hybrid

$150K - $225K/yr

With roots as a quantitative trading firm continually building for the future, the GTS family of companies are able to leverage the latest in artificial intelligence systems and sophisticated pricing ...

GTS

Quantitative Trader/Researcher - Futures

Manhattan, NY · On-site

$150K - $225K/yr

With roots as a quantitative trading firm continually building for the future, the GTS family of companies are able to leverage the latest in artificial intelligence systems and sophisticated pricing ...

GTS

Quantitative Trader/Researcher - Futures

Manhattan, NY · Hybrid

$150K - $225K/yr

With roots as a quantitative trading firm continually building for the future, the GTS family of companies are able to leverage the latest in artificial intelligence systems and sophisticated pricing ...

Anson McCade

Junior Quantitative Trader

Chicago, IL · On-site

What you'll do: • Design and optimize systematic options trading strategies using quantitative research and machine learning techniques • Build and refine algorithmic trading models from ideation ...

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Quantitative Trader information

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$31K

$90.6K

$146K

How much do quantitative trader jobs pay per year?

As of Jul 12, 2026, the average yearly pay for quantitative trader in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

How much does a quant trader make?

Quantitative traders typically earn a base salary ranging from $100,000 to $200,000 annually, with total compensation often exceeding $300,000 when including bonuses and profit sharing. Compensation varies based on experience, firm size, and performance, with successful traders earning significantly more through performance-based incentives.

Does JP Morgan hire quants?

Yes, JP Morgan hires quantitative traders who develop and implement trading strategies using mathematical models, programming skills, and financial data analysis. These roles often require strong backgrounds in mathematics, computer science, or engineering, and familiarity with tools like Python, R, or MATLAB.

Is quant trader a high paying job?

Quantitative traders often earn high salaries due to the specialized skills required, such as advanced mathematics, programming, and data analysis. Compensation typically includes base salary, bonuses, and profit-sharing, with top performers earning significantly more, especially at large financial firms or hedge funds.

What is a Quantitative Trader job?

A Quantitative Trader is a finance professional who uses mathematical models, statistical analysis, and algorithmic strategies to identify and execute trading opportunities. They work with large datasets to develop automated trading strategies that capitalize on market inefficiencies. Quantitative Traders often collaborate with developers and researchers to optimize their models and reduce risk. Positions are typically found at hedge funds, proprietary trading firms, and investment banks. Strong programming, analytical, and risk management skills are essential for success in this role.

What are some common challenges Quantitative Traders face in their day-to-day work?

Quantitative Traders often encounter rapidly changing market conditions that require swift analytical decisions and the ability to adjust strategies on short notice. They work with large sets of financial data, which demands both technical expertise to interpret trends and creativity to develop effective trading algorithms. Collaboration with developers, researchers, and other traders is frequent to refine models and address technological or strategic challenges. Adapting to evolving regulatory requirements and managing risk exposure are also key parts of the role. Successfully navigating these challenges is essential for maximizing trading performance and maintaining a competitive edge.

What is the job of a quantitative trader?

A quantitative trader develops and implements trading strategies using mathematical models, statistical analysis, and programming skills to identify trading opportunities in financial markets. They often work with large datasets, utilize tools like Python or R, and analyze market data to make data-driven trading decisions. The role typically requires strong analytical skills, knowledge of finance, and the ability to work under pressure in fast-paced environments.

What are the key skills and qualifications needed to thrive in the Quantitative Trader position, and why are they important?

To thrive as a Quantitative Trader, you need strong mathematical, analytical, and programming skills, typically supported by a degree in mathematics, finance, engineering, or computer science. Expertise with statistical software, programming languages such as Python or C++, and familiarity with automated trading systems or financial modeling tools is highly valuable. Exceptional problem-solving ability, attention to detail, and quick decision-making are crucial soft skills in this fast-paced role. These competencies enable traders to develop data-driven strategies, manage risk effectively, and adapt rapidly to market changes for consistent profitability.

More about Quantitative Trader jobs
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Quantitative Trader jobs near you
Infographic showing various Quantitative Trader job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 75% Physical, 4% Hybrid, and 21% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.

New Grad Full-Time Quantitative Trader

WallStreetQuants

New York, NY • On-site

Full-time

Posted 13 days ago

Job description

About the Role

A proprietary trading firm based in NYC is seeking a highly motivated New Grad Quantitative Trader to join the team full-time. In this role, you will apply analytical thinking, market intuition, and quantitative problem-solving to identify trading opportunities, manage risk, and contribute to the development of data-driven strategies across global markets.

This is an ideal opportunity for recent graduates who are passionate about financial markets, probability, game theory, technology, and fast-paced decision-making. You will work closely with experienced traders, quantitative researchers, and engineers to learn how modern trading strategies are designed, tested, and executed.

Requirements

Responsibilities
  • Monitor and analyze real-time market data to identify trading opportunities.
  • Support the development, testing, and refinement of quantitative trading strategies.
  • Make fast, data-informed trading decisions while managing risk.
  • Collaborate with traders, researchers, and engineers to improve trading models, tools, and execution systems.
  • Conduct statistical analysis on historical and live market data.
  • Evaluate market microstructure, liquidity, volatility, and other drivers of price movement.
  • Participate in trading simulations, training programs, and strategy review sessions.
  • Communicate trade ideas, risks, and performance insights clearly to the team.
  • Continuously improve decision-making through feedback, research, and post-trade analysis.
Qualifications
  • Bachelor’s, Master’s, or PhD degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or a related quantitative field.
  • Strong quantitative, analytical, and problem-solving skills.
  • Interest in financial markets, trading, probability, strategy games, or competitive problem-solving.
  • Ability to make decisions quickly and remain calm under pressure.
  • Strong attention to detail and intellectual curiosity.
  • Excellent communication and teamwork skills.
  • Programming experience in Python or a similar language is preferred.
  • Prior internship, research, trading competition, or personal project experience involving data analysis, markets, or quantitative modeling is a plus but not required.
Ideal Candidate

The ideal candidate is intellectually curious, competitive, numerically strong, and comfortable making decisions with incomplete information. You enjoy solving complex problems, thinking strategically, learning from feedback, and working in a fast-moving environment where performance and precision matter.

Benefits

What We Offer
  • Comprehensive training in trading, market structure, risk management, and quantitative strategy development.
  • Mentorship from experienced traders, researchers, and technologists.
  • Exposure to live markets and real-time trading decision-making.
  • A collaborative, high-performance environment that values curiosity, discipline, and continuous learning.
  • Opportunities for rapid growth based on performance, ownership, and impact.
  • Competitive compensation and benefits package.