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New Grad Quant Jobs (NOW HIRING)

SentiLink

Data Scientist, New Grad

... new SentiLink products around identity verification. • Achieve success by researching ... quantitative field or equivalent experience/research • Strong foundation in machine learning ...

Snap, Inc.

Senior Data Scientist, Level 5

Seattle, WA · On-site

Think creatively, proactively, and futuristically to identify and size up new opportunities within ... years of post-grad quantitative analysis and data science experience; or a PhD in a related ...

Snapchat

Senior Data Scientist, Level 5

Seattle, WA

Think creatively, proactively, and futuristically to identify and size up new opportunities within ... years of post-grad quantitative analysis and data science experience; or a PhD in a related ...

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New Grad Quant information

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$52.5K

$119.2K

$196.5K

How much do new grad quant jobs pay per year?

As of Aug 5, 2026, the average yearly pay for new grad quant in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.

What is the difference between New Grad Quant vs Quant Analyst?

AspectNew Grad QuantQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; internships preferredAdvanced degree often preferred; experience in modeling and programming
Work EnvironmentEntry-level, training-focused, collaborative teamsMore independent, project-driven, client-facing
Employer & Industry UsageFinancial firms, hedge funds, banksSame as New Grad Quant, with increased responsibilities

The main difference between a New Grad Quant and a Quant Analyst lies in experience and responsibility. New Grad Quants are entry-level, focusing on learning and supporting teams, while Quant Analysts have more experience, handling complex models and client interactions. Both roles require strong quantitative skills, but the Quant Analyst role typically demands a deeper understanding and proven track record.

What are some typical challenges new graduate quants face when transitioning from academia to a professional finance environment?

New graduate quants often encounter challenges such as adapting to the fast-paced nature of financial markets, learning to apply theoretical knowledge to real-time problems, and navigating large codebases or proprietary platforms. Collaboration is key, as quants frequently work in cross-functional teams with traders, developers, and risk managers, requiring strong communication skills. Additionally, new grads must prioritize continuous learning to keep up with evolving models and technologies, while managing deadlines and performance expectations.

What is a new grad quant?

A New Grad Quant, short for 'Quantitative Analyst,' is an entry-level position for recent graduates in finance, mathematics, computer science, or related fields. These professionals use mathematical models, statistical techniques, and programming skills to analyze financial data and develop trading strategies. New Grad Quants typically work at investment banks, hedge funds, or financial technology firms, where they support senior quants in research, risk management, and portfolio optimization. The role often involves a steep learning curve and requires strong analytical thinking and problem-solving abilities.

What are the key skills and qualifications needed to thrive as a new grad quant?

To thrive as a New Grad Quant, you need a strong background in mathematics, statistics, and programming, typically supported by a degree in quantitative fields such as mathematics, physics, engineering, or computer science. Proficiency with tools like Python, R, MATLAB, and familiarity with data analysis libraries or financial modeling systems is expected. Analytical thinking, attention to detail, and effective communication are crucial soft skills for collaborating with teams and interpreting complex data. These competencies enable new quants to develop robust models, contribute valuable insights, and adapt quickly in the fast-paced finance industry.
More about New Grad Quant jobs
What cities are hiring for New Grad Quant jobs? Cities with the most New Grad Quant job openings:
What states have the most New Grad Quant jobs? States with the most job openings for New Grad Quant jobs include:
What job categories do people searching New Grad Quant jobs look for? The top searched job categories for New Grad Quant jobs are:
New Grad Quant jobs near you
Infographic showing various New Grad Quant job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 90% Full Time, 8% Part Time, and 1% Contract. Highlights an 75% Physical, and 25% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

New Grad Full-Time Quantitative Trader

WallStreetQuants

Chicago, IL

Full-time

Posted 22 days ago

Job description

About the Role

A proprietary trading firm based in Chicago 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.

Apply