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Graduate Quant Trader Jobs (NOW HIRING)

Experienced Trader

Chicago, IL ยท On-site

$72K - $120K/yr

The ability to create and support quantitative models * Experience with data analysis programming ... Tuition reimbursement for Graduate courses (taken after employment begins) * Flexible Spending ...

The ability to create and support quantitative models * Experience with data analysis programming ... Tuition reimbursement for Graduate courses (taken after employment begins) * Flexible Spending ...

Atto Trading is a quantitative trading firm operating a portfolio of signal-driven high-frequency ... Graduate degree in statistics, mathematics, science, or another quantitative discipline. Benefits:

The ability to create and support quantitative models * Experience with data analysis programming ... Tuition reimbursement for Graduate courses (taken after employment begins) * Flexible Spending ...

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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 Jun 26, 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 are Graduate Quant Traders?

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:
Infographic showing various Graduate Quant Trader job openings in the United States as of June 2026, with employment types broken down into 43% As Needed, 14% Full Time, and 43% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Quantitative Researcher Lead for Electronic Trading Strategies Group

Quanta Search

Manhattan, NY โ€ข On-site

Full-time

Posted 3 days ago


Job description

Our client, a boutique trading firm, is seeking a senior person to lead the research effort in the Quantitative Strategies Group. QSG seeks to develop quantitative models to uncover market dynamics and simulate the price discovery process. Research findings feed into automated trading strategies deployed in electronic markets. The Research Lead will be responsible for driving the research agenda and guiding ongoing R&D projects. The ideal candidate will have experience leading a QR team and/or agenda at a sophisticated trading firm. The candidate will demonstrate an ability to formulate, test, and implement research ideas quickly and robustly. As a Quantitative Research Lead you will:
  • Drive the research agenda with a view to meeting medium-term trading and business objectives
  • Manage development of research tools and applications for processing market data
  • Direct alpha research geared towards high-volume and scalable strategies
  • Oversee and implement strategy code to monetize findings on both sides of the order book
  • Contribute to ongoing R&D efforts for wide-ranging initiatives the team undertakes
  • Develop and test data-centric theories aimed at understanding intraday liquidity dynamics

Requirements
  • Graduate degree in Applied Math, Statistics/ML, Computer Science/Engineering, or similar
  • Proficiency in C++ with demonstrable experience building large-scale production applications
  • Proficiency in advanced data research & modeling using Python and/orR
  • Extensive knowledge and expertise designing statistical inference models and predictive analytics
  • Extensive knowledge and experience with high-volume, high-dimensional data modeling
  • Extensive knowledge and understanding of software engineering principles and practice
  • Demonstrable experience leading teams, projects, and timely execution of business objectives

Additional skills/experience that will reflect favorably
  • PhD in Applied Math, Statistics, ML, Computer Science/Engineering, Physics or similar
  • Prior experience managing quantitative trading portfolios at a reputable hedge fund or trading firm
  • Deep insights into global financial exchange micro-structure and micro-behavior
  • Prior experience managing or implementing Equities and/or Futures Statistical Arbitrage or HFT
  • Experience originating alpha/strategy development in an unprecedented environment or scale
  • Experience propelling firm-level innovation, intellectual breakthroughs, and business growth

Thank you for illuminating hiring with Quanta Search!
www.quantasearch.com