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Quant Engineer Jobs in Massachusetts (NOW HIRING)

Associate, Quantitative DevOps Engineer

Boston, MA ยท Hybrid

$57.25 - $78.50/hr

We are seeking a highly skilled Associate, Quantitative DevOps Engineer to join ourQuantitative Investment Scienceorganization. This role is ideal for a technology professional with a strong passion ...

As at 30 June 2026 The Role As a Senior Quantitative Developer in the Front-office Engineering organization at Man Systematic, you will work closely with Quantitative Researchers and Portfolio ...

Quant Data Lead

Boston, MA ยท On-site

$200K - $240K/yr

The position combines handson engineering with architectural decisionmaking, team leadership, and close collaboration with quantitative researchers. We'll trust you to: * Lead the design and ...

Quant Data Lead

Boston, MA ยท On-site

$200K - $240K/yr

The position combines hands-on engineering with architectural decision-making, team leadership, and close collaboration with quantitative researchers. We'll trust you to: * Lead the design and ...

Quantitative Data Analyst

Boston, MA ยท On-site

$90K - $150K/yr

... with quant developers to harden and operationalize your solutions * Maintain high-quality dataset documentation and operational runbooks (definitions, assumptions, known quirks, troubleshooting ...

... with quant developers to harden and operationalize your solutions * Maintain high-quality dataset documentation and operational runbooks (definitions, assumptions, known quirks, troubleshooting ...

Associate, Quantitative Developer

Boston, MA ยท Hybrid

$160K - $165K/yr

The Associate, Q ua ntitative Developer will be a member of the Quantitative Investment Science ... This engineer will translate business requirements into reliable, performant, and maintainable ...

Quantitative Analyst

Boston, MA ยท On-site

$100K - $200K/yr

The Team SAI's quantitative research analysts work either directly on an asset class or product ... Our projects typically lie at the intersection of investment management, portfolio engineering ...

Showing results 41-60

Quant Engineer information

What is the salary of a quant engineer?

The salary of a quant engineer typically ranges from $100,000 to $200,000 annually, with higher compensation for those with advanced degrees, extensive experience, or specialized skills in programming languages like Python or C++. In addition to base salary, many quant engineers receive bonuses and performance incentives, especially in financial firms or hedge funds.

What are the key skills and qualifications needed to thrive as a quant engineer, and why are they important?

To thrive as a Quant Engineer, you need strong quantitative and programming skills, typically supported by a degree in mathematics, physics, computer science, or a related field. Proficiency in programming languages such as Python, C++, or Java, as well as familiarity with statistical analysis tools and financial modeling systems, is essential. Analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills enable Quant Engineers to develop robust models and algorithms that drive accurate trading strategies and risk management in fast-paced financial environments.

What is a quant engineer?

Quant Engineers, or quantitative engineers, are professionals who apply mathematical models, statistical techniques, and computer programming to solve complex problems in finance and related industries. They often work on designing trading algorithms, risk management tools, and pricing models for financial instruments. Quant Engineers typically have strong backgrounds in mathematics, computer science, and finance, and are skilled in programming languages such as Python, C++, or R. Their work helps financial firms make data-driven decisions and optimize strategies in highly competitive markets.

What is the difference between Quant Engineer vs Quant Analyst?

AspectQuant EngineerQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires programming skillsDegree in Finance, Economics, or Math; less emphasis on programming
Work EnvironmentDevelops models, algorithms, and software tools for trading and risk managementAnalyzes data, interprets models, and provides insights for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial firms, asset management, hedge funds

While both roles involve quantitative analysis, Quant Engineers focus on building and implementing models and software, whereas Quant Analysts primarily analyze data and interpret models to inform trading decisions. The roles often overlap but differ in technical depth and responsibilities.

How do quant engineers typically collaborate with traders and other team members to develop and implement trading strategies?

Quant Engineers work closely with traders, researchers, and software developers to design, test, and refine quantitative trading models. They often translate mathematical models into efficient code, analyze large datasets, and ensure strategies are both robust and scalable for real-time trading environments. Frequent communication is key, as Quant Engineers must gather requirements from traders, iteratively backtest ideas, and adapt models based on feedback and market changes. This collaborative process helps ensure strategies are both scientifically sound and practically viable for deployment.
What cities in Massachusetts are hiring for Quant Engineer jobs? Cities in Massachusetts with the most Quant Engineer job openings:
Infographic showing various Quant Engineer job openings in Massachusetts as of July 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Associate, Quantitative DevOps Engineer

HarbourVest

Boston, MA โ€ข Hybrid

$57.25 - $78.50/hr

Full-time

Medical, Retirement, PTO

Re-posted 19 days ago


Job description

Job Description Summary

For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking.

In our collegial environment that's marked by low turnover and high energy, you'll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences.

We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm.

HarbourVest is an equal opportunity employer.

This position will be a hybrid work arrangement. You will receive 18 remote workdays per quarter to use at your discretion, subject to manager approval. For example, you may choose to work in the office 4 days per week and take one remote day weekly (typically 13 weeks per quarter), leaving 5 additional remote days to be used as needed.


We are seeking a highly skilledAssociate, Quantitative DevOps Engineerto join ourQuantitative Investment Scienceorganization. This role is ideal for a technology professional with a strong passion for data, automation, and modern DevOps practices who thrives in sophisticated, high-impact environments.

The successful candidate will collaborate with quantitative researchers, data and application engineers, vendors, and IT partners. They will develop, deploy, and support robust CI/CD pipelines and cloud-based environments. You will play a critical role in supporting the full application and data lifecycle-from development through production-within ourAzure-based Investment Data Analytics Platform. Your contributions will directly enhance development efficiency, system reliability, and operational excellence across the organization.

The ideal candidate is someone who:
  • Experience supporting technology applications or digital products using DevOps and process automation methods, preferably in data-focused or research-based environments.

  • Demonstrated experience implementing and administeringGit-based repositories, including branching and version control standards.

  • Proven expertise inCI/CD pipeline development and deployment automation, including the use of approval gates.

  • Strong scripting capabilities inBash, Python, and/or PowerShell.

  • Working knowledge ofSnowflakeand data platform ecosystems.

  • Experience managing cloud infrastructure usinginfrastructure-as- codemethodologies, ideally withinMicrosoft Azure.

  • Proficiency withcontainerization technologiessuch as Docker or Podman.

  • Strong background in configuration management, security, and operational rigor.

  • Proven track record to supportproduction environments, manage incidents, diagnose sophisticated issues, and coordinate resolution efforts.

  • Demonstrated success delivering results on fast-paced, complicated projects.

  • Excellent verbal and written communication skills, with the ability to engage effectively with technical and non-technical collaborators at all levels.

What you will do:
  • Build, implement, and maintain continuous integration and delivery workflows to support automated build, test, approval, and deployment processes across development, test, and production environments.

  • ProvideDevOps and process automation expertiseto improve the efficiency, scalability, and reliability of data-centric and analytical applications.

  • Support the ongoing maintenance, stability, and performance of aMicrosoft Azurecloud.

  • Administer and enforceGit-based source control, including branching strategies, versioning standards, and code promotion practices.

  • Develop and maintaininfrastructure-as-code (IaC)solutions for managing cloud storage, compute, and networking resources.

  • Leveragecontainerization technologies(Docker or Podman) to standardize application deployments.

  • Apply strong configuration management and security guidelines, ensuring alignment with enterprise standards.

  • Provideproduction support, including issue triage, root cause analysis, prioritization, and coordination with analysts and engineers for timely resolution.

  • Collaborate closely with data engineers, researchers, product, and platform engineering to support high-complexity, important initiatives.

  • Contribute to the continuous improvement of DevOps standards, tools, and operational processes.

What you bring:
  • High energy and collaborative work style

  • Proficient in using scripting languages to develop quick prototypes and proof-of-concepts

  • A track record of completed high-intensity, high-complexity projects

  • Experience with business intelligence tools such as Tableau, Power BI, or equivalent

  • Skilled in implementing and managing DevOps practices, CI/CD pipelines

Education Preferred:
  • Bachelor of Arts (B.A) degree or equivalent experience

  • Bachelor of Science (B.S) credential or equivalent experience

Experience:
  • 6 Years of DevOps experience in cloud based, software delivery

  • Experience working within thefinancial services or investment management industry

#LI-Hybrid

Base Salary Range

$135,000.00 - $145,000.00

This USD base salary range represents only one component of total compensation for this role and is provided in accordance with local requirements. This role is eligible for a discretionary annual bonus, which is determined based on individual and overall firm performance. In addition to salary and bonus, total compensation may include eligibility for long-term reward programs and a comprehensive total rewards package that may include retirement, health, insurance, paid time off, and wellness programs. Our total rewards offerings are influenced by several business factors, and eligibility for certain components will vary by position and geography. Please note the posted ranges do not apply outside the U.S. and should not be converted to other currencies as a proxy for compensation in other countries.