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Graduate Quant Jobs in Wakefield, MA (NOW HIRING)

Fidelity Investments

Quantitative Analyst

Boston, MA · On-site

$100K - $200K/yr

... quant research colleagues to generate proprietary insights that enhance investment decisions and ... Strong preference for a graduate degree in a related field (Finance, Engineering, Mathematics ...

Fidelity Investments

Quantitative Analyst

Boston, MA · On-site

$100K - $200K/yr

... quant research colleagues to generate proprietary insights that enhance investment decisions and ... Strong preference for a graduate degree in a related field (Finance, Engineering, Mathematics ...

Fidelity Investments

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 ...

Fidelity Investments

Quantitative Analyst

Boston, MA

$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 ...

Arrowstreet Capital

Quantitative Developer

Boston, MA · On-site

$150K - $250K/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 ...

Arrowstreet Capital LP

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 ...

Arrowstreetcapital

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 ...

Arrowstreet Capital

Quantitative Developer

Boston, MA

$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 ...

MFS

Quantitative Research Analyst

Boston, MA · Hybrid

$175K/yr

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

Fidelity Investments

AM Quantitative Analyst I

Boston, MA · On-site

$135K - $175K/yr

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

Arrowstreet Capital LP

Quantitative Researcher

Boston, MA · On-site

$155K - $260K/yr

Degree from an undergraduate or graduate educational institution in finance, mathematics, economics, or a closely-related discipline emphasizing quantitative or financial analysis * 1-3 years of ...

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All JobsGraduate Quant JobsGraduate Quant Jobs in Wakefield, MA

Graduate Quant information

See Wakefield, MA salary details

$103.3K

$178.9K

$273.6K

How much do graduate quant jobs pay per year?

As of Aug 6, 2026, the average yearly pay for graduate quant in Wakefield, MA is $178,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,800.00 and $209,800.00 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 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 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 cities near Wakefield, MA are hiring for Graduate Quant jobs? Cities near Wakefield, MA with the most Graduate Quant job openings:
Graduate Quant jobs near you

PhD Graduate Intern Quantitative Portfolio Risk Analytics

RiskAnalytics

Cambridge, MA • On-site

Other

Posted 4 days ago

Job description

Ph.D. Graduate Intern – Quantitative Portfolio Risk Analytics (Cross-Disciplinary)

Position Overview

We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.

We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to apply—especially those interested in translating rigorous quantitative methods into real-world financial applications.

Key Responsibilities

Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches

Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk

Design and implement analytical tools and pipelines using Python and SQL

Contribute to model validation, backtesting, and performance evaluation

Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure

Communicate complex quantitative insights through clear visualizations and technical summaries

Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analytics

Required Qualifications

Currently enrolled in a graduate Ph.D. program in a highly quantitative field (e.g., Math, Applied Mathematics, Physics, Astrophysics, Statistics, Computer Science, Engineering, Financial Engineering, Economics, Biotech or other data-driven disciplines)

Strong foundation in probability, statistics, and numerical methods

Proficiency in Python (NumPy, pandas, or similar) and/or SQL

Experience working with large datasets and implementing quantitative models

Ability to think rigorously about complex systems and translate theory into practical solutions

Preferred Qualifications

Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk)

Experience with scientific computing, optimization, or machine learning

Background or research in cross-disciplinary areas such as:

Statistical physics, complex systems, or network theory

Applied or computational mathematics

Machine learning or probabilistic modeling

Quantum computing or advanced optimization techniques

Topological data analysis or geometric data methods

Prior research, publications, or project work demonstrating advanced quantitative modeling

What You’ll Gain

Exposure to real-world portfolio risk problems at the intersection of finance and advanced analytics

Opportunity to apply cutting-edge academic methods in a production environment

Collaboration with a highly quantitative, cross-disciplinary team

Experience working with large-scale financial data and modern analytics infrastructure

Mentorship and potential pathway to full-time quantitative roles

Duration & Compensation

Internship: Summer 2026, with potential to extend

Paid internship (competitive, based on experience and location)

Apply