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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 ...

University of Utah

Grad Student NoTB

Campus, IL

$14.75 - $18.75/hr

Quantitative data analysis using R, SPSS, or similar statistical hardware * Data management ... Supporting power analyses and sample size calculations for new studies * Drafting and editing ...

University of Utah

Grad Student NoTB

Salt Lake City, UT

$14.75 - $18.75/hr

Quantitative data analysis using R, SPSS, or similar statistical hardware * Data management ... Supporting power analyses and sample size calculations for new studies * Drafting and editing ...

University of Utah

Grad Student NoTB

Campus, IL · On-site

$14.75 - $18.75/hr

Quantitative data analysis using R, SPSS, or similar statistical hardware * Data management ... Supporting power analyses and sample size calculations for new studies * Drafting and editing ...

University of Utah

Grad Student NoTB

Campus, IL · On-site

$14.75 - $18.75/hr

Quantitative data analysis using R, SPSS, or similar statistical hardware * Data management ... Supporting power analyses and sample size calculations for new studies * Drafting and editing ...

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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 Jul 15, 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, and why are they important?

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% As Needed, 90% Full Time, 8% Part Time, and 1% Contract. Highlights an 76% Physical, and 24% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

New Grad Full-Time Quantitative Developer

WallStreetQuants

New York, NY • On-site

Full-time

Posted 17 days ago

Job description

About the Role
An NYC based proprietary trading firm is seeking a motivated and intellectually curious New Grad Quantitative Developer to join the team full time. This role is designed for recent graduates from all degree backgrounds who have strong programming skills, analytical ability, and an interest in building technology for financial markets.
As a Quantitative Developer, you will work at the intersection of software engineering, quantitative research, and trading. You will help design, build, and improve the systems, tools, and infrastructure that support data analysis, trading strategies, risk management, and real-time decision-making.
This is an excellent opportunity for a new graduate who enjoys solving complex problems, writing high-quality code, learning quickly, and working in a fast-paced, collaborative environment.
Requirements
Responsibilities
  • Design, develop, test, and maintain software tools used by traders, researchers, and engineers.
  • Build systems for market data processing, strategy research, simulation, backtesting, and trade execution.
  • Work with large datasets to support quantitative analysis and trading decisions.
  • Collaborate with quantitative researchers and traders to translate ideas into reliable production systems.
  • Improve the performance, scalability, reliability, and usability of internal platforms.
  • Develop dashboards, analytics tools, APIs, and automation workflows.
  • Debug and optimize code used in research and trading environments.
  • Learn about financial markets, trading workflows, market data, and risk management.
  • Contribute to code reviews, technical design discussions, and engineering best practices.
Qualifications
  • Recent graduate or upcoming graduate from a Bachelor's, Master's, PhD, or equivalent program.
  • Open to candidates from all degree disciplines.
  • Strong programming ability in at least one language such as Python, C++, Java, C#, Go, Rust, or JavaScript/TypeScript.
  • Solid problem-solving, analytical, and logical reasoning skills.
  • Ability to learn new technologies, tools, and financial concepts quickly.
  • Strong attention to detail and commitment to writing clean, reliable, and maintainable code.
  • Effective communication skills and the ability to work well in a collaborative team environment.
  • Interest in financial markets, quantitative systems, trading technology, or data-driven decision-making.
Preferred Qualifications
  • Experience with algorithms, data structures, systems programming, databases, distributed systems, or cloud infrastructure.
  • Coursework, projects, internships, or independent work involving software engineering, data science, machine learning, statistics, simulations, or quantitative analysis.
  • Familiarity with Linux, Git, SQL, APIs, or real-time systems.
  • Experience working with large datasets, time-series data, or performance-sensitive applications.
  • Participation in programming competitions, hackathons, open-source projects, research projects, or technical clubs.
  • Exposure to financial instruments, trading systems, market data, or risk analytics is helpful but not required.

Benefits
What We Offer
  • Full-time role designed for new graduates.
  • Training and mentorship from experienced engineers, traders, and quantitative researchers.
  • Opportunity to work on impactful systems used in real-time trading and research.
  • Exposure to financial markets, quantitative strategy development, and trading infrastructure.
  • A collaborative, intellectually rigorous environment where strong ideas are valued.
  • Early ownership of meaningful technical projects.
  • Competitive compensation and benefits.

Apply