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Graduate Quant Trader Jobs (NOW HIRING)

Quant Strategist

San Francisco, CA ยท On-site

$200K - $400K/yr

Prior experience as a quantitative trader or quantitative researcher. * Experience in competitive math, physics, or CS olympiads, or a graduate degree in a quantitative discipline. * Nationally ...

Quant Strategist

San Francisco, CA ยท On-site

$200K - $400K/yr

Prior experience as a quantitative trader or quantitative researcher. * Experience in competitive math, physics, or CS olympiads, or a graduate degree in a quantitative discipline. * Nationally ...

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Graduate Quant Trader information

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$98K

$169.7K

$259.5K

How much do graduate quant trader jobs pay per year?

As of Aug 6, 2026, the average yearly pay for graduate quant trader 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 are the key skills and qualifications needed to thrive as a graduate quant trader, and why are they important?

To thrive as a Graduate Quant Trader, you need strong quantitative and analytical skills, a background in mathematics, statistics, or a related field, and often a relevant degree. Proficiency with programming languages such as Python, C++, or R, experience with statistical modeling tools, and familiarity with trading platforms are typically required. Exceptional problem-solving ability, attention to detail, and effective communication set top candidates apart. These skills are crucial for developing, testing, and executing trading strategies in fast-moving financial markets.

What are some common challenges faced by graduate quant traders during the first year on the job?

Graduate Quant Traders often encounter a steep learning curve in their first year, as they adapt to fast-paced environments and complex trading systems. Balancing the need to develop robust quantitative models while responding quickly to market changes can be demanding. Additionally, new traders must learn to collaborate effectively with senior traders, analysts, and developers, often needing to communicate their ideas clearly and incorporate feedback. Time management and the ability to handle high-pressure situations are also key challenges as they transition from academic settings to real-time trading floors.

What is a graduate quant trader?

Graduate Quant Traders are entry-level professionals who use quantitative analysis, mathematical models, and programming to develop and execute trading strategies for financial markets. They typically join investment banks, hedge funds, or proprietary trading firms after completing a degree in mathematics, physics, computer science, engineering, or a related field. These roles involve analyzing large datasets, building algorithms, and making real-time trading decisions to generate profits while managing risks. Graduate Quant Traders often work closely with senior traders and researchers to learn industry best practices and refine their skills. The job requires strong analytical abilities, programming skills (often in Python, C++, or R), and a keen interest in financial markets.

What is the difference between Graduate Quant Trader vs Quant Analyst?

AspectGraduate Quant TraderQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often some programming skillsSimilar credentials; strong quantitative background; programming skills beneficial
Work EnvironmentFast-paced trading firms, hedge funds, investment banksFinancial institutions, asset management firms, hedge funds
Employer & Industry UsageUsed in trading desks to develop and implement trading strategiesUsed to analyze markets, develop models, and inform trading decisions

The main difference is that Graduate Quant Traders focus on executing trading strategies in live markets, often working directly with trading desks, while Quant Analysts primarily develop models and analyze data to support trading decisions. Both roles require strong quantitative skills and programming knowledge, but their day-to-day tasks and focus areas differ.

More about Graduate Quant Trader jobs
What cities are hiring for Graduate Quant Trader jobs? Cities with the most Graduate Quant Trader job openings:
What states have the most Graduate Quant Trader jobs? States with the most job openings for Graduate Quant Trader jobs include:
What job categories do people searching Graduate Quant Trader jobs look for? The top searched job categories for Graduate Quant Trader jobs are:
Infographic showing various Graduate Quant Trader job openings in the United States as of August 2026, with employment types broken down into 3% As Needed, 76% Full Time, 19% Part Time, and 2% Contract. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

New Grad Full-Time Quantitative Trader

WallStreetQuants

New York, NY โ€ข On-site

Full-time

Re-posted 8 days ago


Job description

About the Role

Proprietary trading firm based in New York City is seeking a highly motivated New Graduate Quantitative Trader to join the team full-time. In this role, you will apply analytical thinking and market intuition to pricing, execution, and risk decisions as part of the firm's quantitative trading team.

This is an ideal opportunity for recent graduates who are passionate about financial markets, probability, game theory, technology, and fast-paced decision-making. The work spans quant trading, algorithmic trading, market making, probability, execution, and risk management. You will work closely with experienced traders, quantitative researchers, and engineers to learn how modern strategies, models, and trading systems are designed, tested, and implemented.

The team is small, technical, and collaborative, with direct access to experienced traders, quantitative researchers, engineers, high-quality market data, and modern research infrastructure.

This is a hybrid opportunity based in New York, United States.

Requirements

Responsibilities

- Reason through pricing, risk, and execution decisions.

- Analyze trade outcomes and market behavior with data.

- Build disciplined habits around probability, sizing, and feedback loops.

- 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.

- 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

- Final-year student or recent graduate from any degree discipline with strong analytical instincts.

- Comfort with probability, mental math, games, markets, or coding.

- Interest in learning within a fast-feedback trading environment; no prior quant or finance experience is required.

- Final-year student or recent graduate from any degree discipline who is ready to begin a full-time role.

- No specific academic major is required; analytical ability and learning speed matter more than subject studied.

- 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, intellectual curiosity, and a disciplined approach to risk.

- Programming experience in Python or a similar language is preferred.

- Prior internship, research, trading competition, or personal project experience is a plus but not required.

- Applicants from every degree discipline are welcome.

- No prior quantitative finance, trading, or investment-industry experience is required.

- Strong attention to detail, intellectual curiosity, and a commitment to continuous improvement.

- Excellent communication and teamwork skills.

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 quantitative traders, researchers, engineers, and technologists.
  • Exposure to live markets, real financial datasets, and the full path from idea to implementation.
  • A collaborative, high-performance environment that values curiosity, discipline, and continuous learning.
  • Opportunities for rapid growth based on performance, ownership, and measurable impact.
  • Competitive compensation and a benefits package aligned with the employer and location.
  • Competitive compensation and benefits package.