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Graduate Quant Jobs (NOW HIRING)

Keybank

Quant Analytics Assoc - Model Risk

Cleveland, OH · Hybrid

$68K - $103K/yr

One year of relevant analytics or modeling experience, or a graduate degree in a related field ... of quantitative modeling methods (including AI/ML algorithms) used for various risk predictive ...

KeyBank

Quant Analytics Assoc - Model Risk

Cleveland, OH · On-site

$68K - $103K/yr

One year of relevant analytics or modeling experience, or a graduate degree in a related field ... of quantitative modeling methods (including AI/ML algorithms) used for various risk predictive ...

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$98K

$169.7K

$259.5K

How much do graduate quant jobs pay per year?

As of Jul 6, 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:
What job categories do people searching Graduate Quant jobs look for? The top searched job categories for Graduate Quant jobs are:
Graduate Quant jobs near you
Infographic showing various Graduate Quant job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, and 97% Full Time. 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.

Lead Quantitative Researcher for Quant Strat group at a HF

Quanta Search

Manhattan, NY • On-site

Other

Posted 10 days ago

Job description

Our client, a leading HF, is seeking an experienced quantitative researcher with advanced data analytic and
statistical modeling expertise to join the Quantitative Strategies Group. QSG seeks to identify pricing
and volume dynamics in electronic markets. Insights gleaned about liquidity and market micro-behavior
are used to model the price discovery process. The role will be responsible for driving signal research and
development.
The ideal candidate will demonstrate an ability to conceptualize trading phenomenon,
formulate research objectives, and develop tradeable alphas:
hypothesis data collection research & modeling definition evaluation c++ implementation
The candidate will demonstrate deep comprehension of statistical inference techniques, feature
specification, model fitting and evaluation, sim-live fidelity, machine learning, numerical methods, market
microstructure, and large-scale high-density data manipulation.
As a Quantitative Researcher you will:
Research Alpha Ideas with a view to enhancing predictive capability of new and existing models
Identify Concrete Research Objectives for advancing profitability of live trading strategies
Implement High-Speed Computational Code in a variety of programming languages
Develop and test data-centric theories aimed at understanding intraday liquidity dynamics
Build research tools and applications for processing and examining market and trading data
Drive Technical and Intellectual Innovation on all R&D initiatives the team undertakes
Requirements
Graduate degree in Applied Math, Statistics/ML, Physics, Computer Science, or similar
Proficiency in advanced data research & modeling using Python and/or R
Comfort in C++ with experience interacting with large-scale production applications
Extensive knowledge and expertise designing statistical inference models and predictive analytics
Extensive knowledge and experience with high-volume high-dimensional data modeling
Additional skills/experience that will reflect favorably
PhD in Applied Math, Statistics, ML, Computer Science/Engineering, Physics or similar
Deep insights into global financial exchange micro-structure and micro-behavior
Prior experience managing Equities and/or Futures Statistical Arbitrage or HFT strategies
Experience originating alpha/strategy development in an unprecedented environment or scale

Apply