ZipRecruiter

Log In

1

Quant Engineer Jobs in Somerville, MA (NOW HIRING)

Arrowstreetcapital

Quantitative Developer

Boston, MA

$155K - $260K/yr

Team Overview We are looking for Quantitative Developers to join our Research group. We are a collaborative, data-driven, intellectually rigorous team responsible for coming up with investment ideas ...

Arrowstreet Capital LP

Quantitative Developer

Boston, MA · On-site

$155K - $260K/yr

Team Overview We are looking for Quantitative Developers to join our Research group. We are a collaborative, data-driven, intellectually rigorous team responsible for coming up with investment ideas ...

Arrowstreet Capital

Quantitative Developer

Boston, MA

$155K - $260K/yr

Team Overview We are looking for Quantitative Developers to join our Research group. We are a collaborative, data-driven, intellectually rigorous team responsible for coming up with investment ideas ...

next page

Showing results 1-20

All JobsQuant Engineer JobsQuant Engineer Jobs in Somerville, MA

Quant Engineer information

See Somerville, MA salary details

$41.5K

$98.8K

$164.2K

How much do quant engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for quant engineer in Somerville, MA is $98,803.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $109,100.00 per year, depending on experience, location, and employer.

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.

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 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 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.

What are popular job titles related to Quant Engineer jobs in Somerville, MA?

For Quant Engineer jobs in Somerville, MA, the most frequently searched job titles are:

What job categories do people searching Quant Engineer jobs in Somerville, MA look for?

The top searched job categories for Quant Engineer jobs in Somerville, MA are:

What cities near Somerville, MA are hiring for Quant Engineer jobs?

Cities near Somerville, MA with the most Quant Engineer job openings:

Quant Engineer jobs near you

VP, Principal Quant Engineer

Acadian Asset Management LLC

Boston, MA

$185K - $225K/yr

Full-time

Medical, Retirement

Re-posted 4 days ago

Key responsibilities

  • Design and implement quant tooling that supports signal construction and evaluation workflows.

  • Collaborate with research teams to evolve research infrastructure for experimentation and alpha generation.

  • Lead the development of platform capabilities supporting signal computation, data access, workflow orchestration, and distributed execution.

Job description

Position Overview:

We are seeking a Principal Quant Engineer to work in close collaboration with Research, Portfolio Management, and Data teams to design and implement scalable, production-grade platforms that support Acadian's quantitative research and investment processes.

This role focuses on building quant tooling that enables researchers to efficiently develop, evaluate, and deploy quantitative models across investment processes including alpha, risk, transaction cost analysis, attribution, etc. The emphasis is on creating infrastructure that makes quantitative research repeatable, observable, and production-ready at scale.

Acadian supports a hybrid work environment; employees are on-site in the Boston office 3 days a week.

What You'll Do:

  • Design and implement quant tooling that supports signal construction and evaluation workflows, powering production portfolios across global asset universes.
  • Work closely with quantitative researchers to ensure research infrastructure continues to evolve in step with their needs, enabling efficient experimentation and reliable alpha generation.
  • Lead the AI centric development and evolution of core platform capabilities that support signal computation, data access, workflow orchestration, and distributed execution for both quantitative signals and machine learning-based techniques, including deep learning workflows built with PyTorch.
  • Ensure platform flexibility while maintaining integration with downstream processes for portfolio construction, portfolio management, marketing, client reporting, etc
  • Incorporate machine learning and AI techniques into signal construction, parameter estimation, and efficacy evaluation workflows where they improve forecast quality and research productivity, including hyperparameter optimization using frameworks such as Optuna or similar.
  • Provide architectural leadership to improve robustness, transparency, scalability, and performance of data- and compute-intensive research and production workflows.
  • Collaborate with data and platform teams to streamline access to market data, alternative datasets, and compute resources, reducing friction in the research "inner loop" of signal development, backtesting, and validation.
  • Contribute to the endtoend machine learning lifecycle capabilities, including experiment tracking, model management, embedding and graph visualization, and deployment, drawing on tools and concepts such as MLflow.

We're Looking for Teammates With:

  • Bachelor's degree or higher in Computer Science, Engineering, Applied Mathematics, or a related quantitative field.
  • 7+ years of experience in software engineering, with significant hands-on work supporting quantitative research, signal development, or systematic investing in production environments.
  • Demonstrated experience building and operating quantitative platforms that support signal modeling, evaluation, and deployment at scale.
  • Strong proficiency in Python and modern data processing and numerical computing tools (e.g., Polars).
  • Familiarity with machine learning and AI-assisted development techniques, including the use of AI or agentic coding tools (e.g. Claude Code) to improve research and engineering productivity.
  • Solid understanding of system design concepts.
  • Demonstrated ability to deliver robust, transparent, and performant systems.
  • Strong attention to detail and a commitment to producing accurate, reliable, and well-engineered solutions.
  • Creativity and enthusiasm for solving complex problems.
  • Strong work ethic and a roll-up-your-sleeves mindset, with the ability to operate effectively in a hands-on, collaborative environment.

The base salary range for this role is $185,000 - $225,000 per year. Actual compensation will be determined based on a candidate's skills, qualifications, and relevant experience. In addition to base pay, this position may be eligible for discretionary incentive compensation and includes participation in Acadian's comprehensive benefits program, which includes health, retirement, and wellness offerings.

Apply