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Graduate Quant Jobs in Massachusetts (NOW HIRING)

Quantitative Analyst

Boston, MA · On-site

$100K - $200K/yr

Graduate degree in a related field (Finance, Engineering, Mathematics, Operations Research, Decision Science, and Computer Science). * 5+ years of experience in quantitative investment research (e.g ...

Quantitative Analyst

Boston, MA · On-site

$100K - $200K/yr

Graduate degree in a related field (Finance, Engineering, Mathematics, Operations Research, Decision Science, and Computer Science). * 5+ years of experience in quantitative investment research (e.g ...

The Quantitative Research Associate Program is designed to be a 3 - 4-year program, where incumbents generally will pursue graduate school or another opportunity inside or outside of MFS at the end ...

Quantitative Developer

Boston, MA · On-site

$155K - $260K/yr

An undergraduate or graduate degree from an educational institution in computer science with a quantitative application such as mathematics and/or finance, or vice versa - a quantitative degree with ...

Quantitative Developer

Boston, MA · On-site

$155K - $260K/yr

An undergraduate or graduate degree from an educational institution in computer science with a quantitative application such as mathematics and/or finance, or vice versa - a quantitative degree with ...

Quantitative Developer

Boston, MA · On-site

$155K - $260K/yr

An undergraduate or graduate degree from an educational institution in computer science with a quantitative application such as mathematics and/or finance, or vice versa - a quantitative degree with ...

... quant/fundamental blend equity strategies. Research enhancements to stock selection models ... Graduate education in relevant field. * Familiarity with financial data software such as Bloomberg ...

AM Quantitative Analyst I

Boston, MA · On-site

$135K - $175K/yr

Performs quantitative research analysis and coordinates with other analysts, portfolio managers ... Expertisemay be gained during graduate degreeprogram. Salary: $135,000.00 - $175,000.00/year ...

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Graduate Quant information

What is a graduate quant?

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 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 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 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.

What are popular job titles related to Graduate Quant jobs in Massachusetts?

For Graduate Quant jobs in Massachusetts, the most frequently searched job titles are:

What cities in Massachusetts are hiring for Graduate Quant jobs?

Cities in Massachusetts with the most Graduate Quant job openings:

Infographic showing various Graduate Quant job openings in Massachusetts as of August 2026, with employment types broken down into 2% As Needed, 79% Full Time, 17% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Systematic Graduate Rotational Quant

Boston, MA

Full-time

Posted 6 days ago


Job description

Join Man Systematic's Quant Rotational Program with an opportunity to work alongside the Systematic Quantitative Research and Portfolio Management teams. Following a 20-month rotation, the Systematic Graduate Rotational Quant will have an opportunity to join the Quantitative Research or Portfolio Management teams full-time.

Within the Quant Research team, you will conduct research and develop strategies which will improve our trading of financial markets in equities and across the business in general. You will develop and enhance quantitative investment strategies using statistical and quantitative techniques, including econometrics, machine learning, and/or AI. In addition to developing new trading strategies, you will also get the opportunity to conduct research on various implementation aspects of quant strategies such as optimization, transaction cost, and portfolio construction.

Within the Portfolio Management teams, you will gain exposure to a broad spectrum of research, investment, and technical tasks - gaining exposure to what it means to own a quant strategy for a client. That will involve both validating the inputs of our models as well as the output from the quantitative signals used to make buy/sell decisions. You will monitor portfolio risk and country/sector exposures, analyze portfolio returns, and conduct analysis for client communications. You will analyze the output of our portfolio construction process to ensure the integrity of our investment philosophy, assist research and portfolio management teams with enhancing existing signals, and create new signals.  You will potentially rotate through the Fixed Income, Equities (EM or DM), Alternatives or Tax Aware portfolio management teams.

Key competencies

  • Strong academic record and undergraduate coursework in a quantitative discipline such as economics, physics, engineering, computer science, mathematics, etc
  • Strong programming and statistical analysis skills (e.g., Python, R), with the ability to apply statistical and quantitative techniques to complex datasets
  • Demonstrated problem solving ability and ability to quantitatively reason around problems
  • Ability to think creatively and independently, developing ideas from first principles and testing them rigorously
  • Ability to communicate complex concepts clearly to both technical and non-technical audiences
  • Self-organized with the ability to effectively manage time across multiple projects