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Quantitative Trading Developer Jobs in Boston, MA

Quantitative Developer

Boston, MA · On-site

$155K - $260K/yr

... trading cost forecasts based on the signals to drive trading decisions. We maintain a friendly ... As a Quantitative Developer, you will help build our next-generation Research data platform ...

Quantitative Developer

Boston, MA · On-site

$155K - $260K/yr

... trading cost forecasts based on the signals to drive trading decisions. We maintain a friendly ... As a Quantitative Developer, you will help build our next-generation Research data platform ...

Your challenges will be varied and may include onboarding new datasets, implementing new trading ... engineering, preferably with a focus on quantitative applications * Expert knowledge of Python and ...

Your challenges will be varied and may include onboarding new datasets, implementing new trading ... engineering, preferably with a focus on quantitative applications * Expert knowledge of Python and ...

Your challenges will be varied and may include onboarding new datasets, implementing new trading ... engineering, preferably with a focus on quantitative applications * Expert knowledge of Python and ...

AM Quantitative Analyst II

Boston, MA · On-site

$165K - $200K/yr

Applies advanced econometrics, data science, and programming skills using Python, R, MATLAB, and ... Guides the integration of quantitative tools into trading systems, to enable automated signal ...

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Showing results 21-40

Quantitative Trading Developer information

See Boston, MA salary details

$106.5K

$184.4K

$281.9K

How much do quantitative trading developer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for quantitative trading developer in Boston, MA is $184,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,100.00 and $216,200.00 per year, depending on experience, location, and employer.

What is a quantitative trading developer?

A Quantitative Trading Developer is a professional who designs, develops, and implements automated trading strategies using mathematical models, statistical analysis, and programming skills. They work closely with quantitative analysts and traders to transform trading ideas into code that can execute trades in financial markets. These developers typically use programming languages like Python, C++, or Java to build high-performance trading systems that can handle large volumes of market data and execute trades with minimal latency. Their role is crucial in leveraging technology to gain a competitive edge in financial markets.

What are the key skills and qualifications needed to thrive as a quantitative trading developer?

To thrive as a Quantitative Trading Developer, you need strong programming skills (especially in Python, C++, or Java), a solid background in mathematics or statistics, and typically a degree in computer science, engineering, or a related quantitative field. Familiarity with trading platforms, financial data APIs, version control systems like Git, and experience with low-latency systems or high-frequency trading infrastructure is highly valued. Analytical thinking, problem-solving, and effective teamwork are crucial soft skills for building robust and innovative trading solutions. These skills and qualities are vital for developing, testing, and deploying algorithms that perform efficiently and reliably in fast-paced financial markets.

What are some common challenges faced by quantitative trading developers when implementing trading algorithms in a live environment?

Quantitative Trading Developers often face challenges such as managing latency, ensuring data integrity, and handling real-time risk management when deploying algorithms in live markets. Transitioning from a simulation or backtest to a live trading environment can reveal issues like unexpected market conditions, slippage, or connectivity problems that may not have been apparent during development. Collaboration with traders, system engineers, and risk managers is essential to quickly diagnose and resolve production issues, making adaptability and strong communication skills crucial for success in this role.

What is the difference between Quantitative Trading Developer vs Quantitative Analyst?

AspectQuantitative Trading DeveloperQuantitative Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related field; programming skills (Python, C++, Java)Degree in Finance, Economics, Mathematics; strong analytical skills
Work EnvironmentCollaborates with traders and developers; focuses on building trading systemsAnalyzes market data; develops models for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, proprietary trading firmsInvestment banks, asset management firms, hedge funds

In summary, Quantitative Trading Developers primarily focus on building and maintaining trading systems using programming skills, while Quantitative Analysts concentrate on developing models and analyzing data to inform trading decisions. Both roles are essential in quantitative finance but differ in their core responsibilities and skill sets.

Quantitative Developer

Boston, MA • On-site

Arrowstreet Capital LP
201 - 500 employees

$155K - $260K/yr

Full-time

Re-posted 16 days ago


Job description

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, 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 quantitative 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
  • Your responsibilities are expected to grow in line with your experience and abilities. Depending on your competitive advantages, typical responsibilities may include:
  • Writing and maintaining Python and R code that supports the investment research production processes
  • Designing and creating software to enhance our data science technology stack
  • Performing ad-hoc exploratory statistical analysis across multiple large complex data sets from a variety of structured and unstructured sources
  • Implementing performance improvements in our data analysis and numerical programming code
  • Running POCs to evaluate new technologies and libraries in the PyData ecosystem
  • Staying up to date on the PyData ecosystem and evaluating new libraries and tools
  • Working with software engineers to design feeds for new data sources from third-party vendors

Qualifications
  • 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 a computer science application
  • 1 - 3 years of relevant experience required
  • Demonstrated professional or academic success
  • Strong analytical, quantitative, and problem-solving skills
  • Experience implementing production-grade Python code for a data analytic business, preferably in investment management
  • Expert programming skills in Python with pandas and numpy
  • Expertise in OOP paradigms, data structures, and numerical algorithms
  • Understanding of 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, including data visualization
  • High energy and strong work ethic

In addition, experience with any of the following would be valuable:
  • Some experience programming in R with tidyverse packages
  • High-performance computing
  • Distributed computing
  • Hadoop, Spark, Kafka, and related technologies
  • SQL
  • 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 $155,000 - $260,000 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.