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Graduate Quant Jobs (NOW HIRING)

Mentor graduate quantitative researchers Your Skills and Experience: * Ms or PhD in a highly quantitative field * At least 5 years in financial services or a quantitative environment * Experience in ...

Quantitative Researcher - Options

Chicago, IL ยท On-site

$250K - $300K/yr

Mentor graduate quantitative researchers Your Skills and Experience: * Ms or PhD in a highly quantitative field * At least 5 years in financial services or a quantitative environment * Experience in ...

Quant Strategist

San Francisco, CA ยท On-site

$200K - $400K/yr

Experience in competitive math, physics, or CS olympiads, or a graduate degree in a quantitative discipline. * Nationally competitive in any activity. Some members from our company include national ...

Quant Strategist

San Francisco, CA ยท On-site

$200K - $400K/yr

Experience in competitive math, physics, or CS olympiads, or a graduate degree in a quantitative discipline. * Nationally competitive in any activity. Some members from our company include national ...

Graduate Recruiter

River Forest, IL ยท On-site

$55K - $60K/yr

Report back on results from all recruitment activities with quantitative and qualitative information. * Track and compare recruitment strategies and tactics to graduate enrollment benchmarks

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How much do graduate quant jobs pay per year?

As of Jun 10, 2026, the average yearly pay for graduate quant 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, and why are they important?

To thrive as a Graduate Quant, you need a strong background in mathematics, statistics, and programming, typically supported by a quantitative degree such as mathematics, physics, engineering, or computer science. Familiarity with programming languages like Python, C++, R, and financial modeling tools is usually expected, and knowledge of data analysis platforms is beneficial. Analytical thinking, attention to detail, and strong problem-solving abilities are standout soft skills for this role. These skills and qualities are crucial for building robust quantitative models and delivering actionable insights in fast-paced financial environments.

What are some typical challenges faced by Graduate Quants during their first year, and how can they effectively overcome them?

Graduate Quants often encounter challenges such as adapting to high-pressure environments, learning to communicate complex quantitative concepts to non-technical colleagues, and quickly mastering new financial models or programming languages. To overcome these hurdles, it's helpful to proactively seek feedback, collaborate closely with more experienced team members, and dedicate time to continual learning, both on the job and through self-study. Building strong relationships within the team and staying updated on industry trends can also ease the transition and foster professional growth.

What are Graduate Quants?

Graduate Quants, or Graduate Quantitative Analysts, are entry-level professionals who use mathematical, statistical, and computational techniques to analyze financial markets and help institutions make informed trading, investment, and risk management decisions. Typically, they have recently completed advanced degrees in fields like mathematics, physics, engineering, or finance. Graduate Quants often work in banks, hedge funds, or trading firms, applying quantitative models to solve complex financial problems. Their roles may include developing algorithms, conducting data analysis, and supporting senior quants with research and model implementation.

What is the difference between Graduate Quant vs Quant Analyst?

AspectGraduate QuantQuant Analyst
Required CredentialsDegree in Math, Finance, or related field; often entry-levelSame as Graduate Quant, but may require some experience
Work EnvironmentResearch-focused, training programs, junior rolesMore client-facing, strategy implementation, senior responsibilities
Employer & Industry UsageHedge funds, investment banks, asset managersFinancial institutions, trading firms, hedge funds
Search & Comparison IntentYes, often compared for entry-level rolesMore experienced, but related roles

The main difference between a Graduate Quant and a Quant Analyst lies in experience and responsibilities. Graduate Quants are typically entry-level, focusing on learning and research, while Quant Analysts have more experience and handle strategy implementation and client interactions. Both roles are common in finance and require strong quantitative skills, but the level of responsibility and experience distinguishes them.

More about Graduate Quant jobs
What cities are hiring for Graduate Quant jobs? Cities with the most Graduate Quant job openings:
What states have the most Graduate Quant jobs? States with the most job openings for Graduate Quant jobs include:

Quantitative Researcher - Options

IMC

Chicago, IL โ€ข On-site

Other

Posted 14 days ago


Job description

IMC Trading is seeking a Senior Quantitative Researcher to join the options quant team. You will join the team as a senior member with the expectation of leading projects and mentoring juniors. Skills and responsibilities listed below.

Your Core Responsibilities:

  • Collaborate with the trading and quantitative research team to evaluate existing algorithms
  • Combine knowledge of systems, mathematical techniques and trading to identify the best places to improve our trading system
  • Rapidly research, test, and prototype new algorithmic ideas, preferably with Python.
  • See through the high-quality implementation of ideas to full-scale production trading.
  • Mentor graduate quantitative researchers

Your Skills and Experience:

  • Ms or PhD in a highly quantitative field
  • At least 5 years in financial services or a quantitative environment
  • Experience in project or people management
  • Strong programming skills, Python, Java or C++ preferred
  • Proven success in quantitative modelling and algorithm development
  • You have experience with options pricing

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