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Algorithmic Trading Quant Jobs in Boston, MA (NOW HIRING)

... trading cost forecasts based on the signals to drive trading decisions. We maintain a friendly ... Experience in OOP paradigms, data structures, and numerical algorithms * Data storage: RDBMS, S3 ...

New

Your challenges will be varied and may include onboarding new datasets, implementing new trading ... algorithms and cluster-computing solutions. Our Technology Our systems are almost all running on ...

Your challenges will be varied and may include onboarding new datasets, implementing new trading ... algorithms and cluster-computing solutions. Our Technology Our systems are almost all running on ...

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Algorithmic Trading Quant information

See Boston, MA salary details

$57K

$129.5K

$213.5K

How much do algorithmic trading quant jobs pay per year?

As of Aug 7, 2026, the average yearly pay for algorithmic trading quant in Boston, MA is $129,455.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,300.00 and $165,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an algorithmic trading quant?

To thrive as an Algorithmic Trading Quant, you need strong quantitative analysis skills, advanced knowledge in mathematics or statistics, and a degree in a related STEM field. Expertise in programming languages such as Python, C++, or R, along with experience using statistical modeling tools and financial data platforms, is often required. Excellent problem-solving abilities, attention to detail, and effective communication are valuable soft skills for this role. These competencies are critical for developing robust trading algorithms, collaborating with cross-functional teams, and maintaining a competitive edge in fast-paced financial markets.

What does an algorithmic trading quant do?

An Algorithmic Trading Quant designs, develops, and optimizes mathematical models and algorithms for automated trading strategies. They analyze market data, identify patterns, and leverage statistical and machine learning techniques to make high-frequency or systematic trading decisions. These professionals work closely with traders and software engineers to enhance execution efficiency and manage risk. Strong programming skills, quantitative analysis, and financial market knowledge are essential for success in this role.

What does a typical day look like for an algorithmic trading quant?

A typical day for an Algorithmic Trading Quant involves designing and back-testing new trading strategies, analyzing large volumes of financial data, and refining algorithmic models for optimal performance. You’ll collaborate closely with traders, software engineers, and risk managers to implement strategies in live markets and address real-time trading challenges. Regular tasks also include monitoring algorithmic performance, troubleshooting issues, and staying updated on market trends. The environment is highly dynamic, requiring adaptability, continuous learning, and strong teamwork to achieve trading objectives.

What are the most commonly searched types of Algorithmic Trading Quant jobs in Boston, MA? The most popular types of Algorithmic Trading Quant jobs in Boston, MA are:
What are popular job titles related to Algorithmic Trading Quant jobs in Boston, MA? For Algorithmic Trading Quant jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Algorithmic Trading Quant jobs in Boston, MA look for? The top searched job categories for Algorithmic Trading Quant jobs in Boston, MA are:
Infographic showing various Algorithmic Trading Quant job openings in Boston, MA as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $129,455 per year, or $62.2 per hour.

Senior Quantitative Developer

SwiftCruit

Boston, MA • On-site

$170 - $325/hr

Other

Posted 2 days ago

New


Job description

Job Overview

We are looking for an experienced Quantitative Developer, to join our Research group. We are a collaborative, data-driven, intellectually rigorous team responsible for coming up with investment ideas, codifying those ideas into signals, back-testing the signals, and producing return, risk and trading cost forecasts based on the signals to drive trading decisions. We maintain a friendly, team-oriented environment and place a high value on professionalism, attitude and initiative.

Our development team within Research is responsible for the tools, APIs, libraries and software engineering techniques to support faster generation, evaluation and productionization of investment ideas.

As a Quantitative Developer, you will help build our next-generation Research data platform leveraging open-source, cloud and distributed computing technologies. You will work on high-impact projects that are quickly adopted and drive change across the team.

Responsibilities:
  • Writing and maintaining Python libraries that supports the investment research production processes
  • Designing and creating software to enhance our data science technology stack
  • Design and implement financial data APIs and numerical APIs
  • Apply cloud and distributed computing technologies
  • Implementing performance improvements in our data analysis and numerical programming code
  • Running POCs to evaluate new technologies and libraries in the PyData ecosystem
  • Working with software engineers to design feeds for new data sources from third-party vendors
  • Propose and lead implementations of major components or features in our data science platform
  • Mentor, train and provide technical guidance to junior team members in design and coding standards
  • Other projects based on experience and interest.
Qualifications:
  • An undergraduate or graduate degree from an educational institution in computer science
  • 5+ years of experience working as a Quantitative Developer or a in a related role
  • Strong analytical and problem solving skills
  • Expert programming skills in Python, experience implementing production-grade Python code
  • Experience in OOP paradigms, data structures, and numerical algorithms
  • Data storage: RDBMS, S3, columnar databases, NOSQL databases
  • Distributed computing: Spark, Dask, or HPC
  • Understanding/interest in probability and statistics, including linear regression and time-series analysis
  • Curiosity and a willingness to learn new technologies
  • Interest in financial markets (prior experience not required)
  • Excellent communication skills
  • High energy and strong work ethic

In addition, experience with any of the following would be valuable:

  • Hadoop, Spark, Kafka, and related technologies
  • Unix/Linux system tools and environment
  • Basic familiarity with unit testing, continuous integration, DevOps, containerization
  • Interactive data visualization and dashboards

The base salary range for this position is $170,000 - $325,000 per year.

Arrowstreet Capital operates a robust talent acquisition program, and we also seek to compensate and reward our employees competitively within our industry and in line with our merit-based culture. Our approach to total compensation includes base salaries and annual discretionary bonuses, as well as a robust benefits package. The determination of a successful candidate’s base salary placement within the listed range will vary based on the candidate’s relevant experience and qualifications (which may also include relevant certifications, credentials and other education), the job responsibilities and scope, the commensurate resulting level of the position and other relevant factors. The listed range is also an estimate, and additional information regarding base salary and other elements of total compensation offered by Arrowstreet Capital to successful applicants will be communicated during the recruitment process.

Arrowstreet Capital is a Boston-based systematic investment firm that manages global equity portfolios for institutional investors around the world.

All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, ancestry, genetic information, age, pregnancy, medical condition, disability, veteran or military status, marital status or any other characteristic protected by federal, state, or local law.

Arrowstreet Capital is committed to working with and providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you need a reasonable accommodation for any part of the employment process due to a disability, contact us to discuss the nature of your request and contact information.

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