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Internship Quantitative Developer Jobs in Boston, MA

The work is highly collaborative and spans quantitative research, software engineering, and machine ... internships, undergraduate research or thesis, or substantial independent technical projects ...

We seek to provide investment solutions using sophisticated quantitative techniques that ... Many of our analysts and portfolio managers started with us as interns. As an intern, you will ...

Intern, Dynamic

Boston, MA · On-site

$2.5K - $4.5K/wk

We seek to provide investment solutions using sophisticated quantitative techniques that ... Many of our analysts and portfolio managers started with us as interns. As an intern, you will ...

Intern, Dynamic

Boston, MA · On-site

$2.5K - $4.5K/wk

We seek to provide investment solutions using sophisticated quantitative techniques that ... Many of our analysts and portfolio managers started with us as interns. As an intern, you will ...

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

The work is highly collaborative and spans quantitative research, software engineering, and machine ... internships, undergraduate research or thesis, or substantial independent technical projects ...

... quantitative firms. We offer health, dental, disability, and life insurance benefits, as well as ... Ability to code in Python and write shell scripts. * DevOps/GitOps mindset. * Prior internship ...

... quantitative firms. We offer health, dental, disability, and life insurance benefits, as well as ... Ability to code in Python and write shell scripts. * DevOps/GitOps mindset. * Prior internship ...

Biostatistician I

Boston, MA · Hybrid

$103K - $124K/yr

Strong programming skills in R and Python Preferred Qualifications: * Doctor of Philosophy in Statistics, Biostatistics, Computational Biology or other quantitative fields. * Work or internship ...

Senior Operations Planning Analyst

Quincy, MA · On-site

$75.10 - $142.60/hr

... engineering or a related quantitative field. * Minimum of 5 years' experience in operations, distribution center/warehouse operations and/or logistics (including internships). * Experience or ...

Our interns are not observers - they are contributors. Each AI Native Intern is embedded in a real ... Engineering, or a related quantitative field * Working proficiency in Python (pandas, numpy) and ...

Our interns are not observers - they are contributors. Each AI Native Intern is embedded in a real ... Engineering, or a related quantitative field * Working proficiency in Python (pandas, numpy) and ...

Our interns are not observers - they are contributors. Each AI Native Intern is embedded in a real ... Engineering, or a related quantitative field * Working proficiency in Python (pandas, numpy) and ...

You'll work closely with Product, Engineering, Design, and Operations to design and execute ... The internship is intended to run 3-6 months* What You'll Do * Design and execute consumer research ...

Showing results 21-40

Internship Quantitative Developer information

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

AspectInternship Quantitative DeveloperQuantitative Analyst
Required CredentialsUndergraduate or graduate degree in finance, math, or computer science; programming skillsDegree in finance, economics, or related field; strong analytical skills
Work EnvironmentInternship setting within financial firms, focusing on coding and model developmentFull-time role analyzing data, developing models, and providing trading insights
Employer & Industry UsageUsed by hedge funds, investment banks, and asset managers during internship programsCommon in investment firms, banks, and hedge funds for ongoing analysis

Internship Quantitative Developers typically focus on coding and developing trading algorithms during their internship, while Quantitative Analysts analyze data and develop models in a full-time capacity. Both roles require strong quantitative skills, but the internship is a temporary entry point, whereas the analyst role is a permanent position.

What does an internship quantitative developer do?

An Internship Quantitative Developer assists in designing and implementing quantitative models and tools used in financial analysis, trading, or risk management. They work closely with quantitative analysts and software engineers to develop algorithms, analyze data, and optimize trading strategies. The role typically involves programming, data analysis, and collaborating on research projects, providing valuable hands-on experience in quantitative finance.

What are the key skills and qualifications needed to thrive as an internship quantitative developer, and why are they important?

To thrive as an Internship Quantitative Developer, you need a solid background in mathematics, statistics, and programming—typically supported by progress toward a degree in quantitative fields like computer science, engineering, or finance. Familiarity with technical tools such as Python, C++, MATLAB, and version control systems, as well as experience with financial data platforms, is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with teams and interpret complex data. These competencies are crucial for developing robust quantitative models and contributing meaningfully to financial technology projects in a fast-paced environment.

What kinds of projects and tasks can an internship quantitative developer expect to work on during their internship?

As an Internship Quantitative Developer, you can expect to work on a variety of projects such as developing and optimizing trading algorithms, analyzing large financial data sets, and creating back-testing frameworks to evaluate model performance. You may also assist in implementing code for pricing, risk management, or automated trading strategies under the guidance of senior quants and developers. Collaboration is common, as you’ll often work closely with quantitative analysts, traders, and software engineers to understand requirements, troubleshoot issues, and refine solutions. This hands-on exposure provides valuable learning opportunities and can be a stepping stone toward a full-time quantitative or developer role.
What are the most commonly searched types of Quantitative Developer jobs in Boston, MA? The most popular types of Quantitative Developer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Internship Quantitative Developer jobs? Cities near Boston, MA with the most Internship Quantitative Developer job openings:
Infographic showing various Internship Quantitative Developer job openings in Boston, MA as of August 2026, with employment types broken down into 10% Internship, 65% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

$110K - $145K/yr

Full-time

Posted 27 days ago


Job description

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning team. The team's primary mission is to develop machine learning systems to answer open-ended investment questions and support portfolio management decisions. The team works across the project lifecycle and technical stack, from ideation, understanding and analyzing data, hypothesis generation and testing, and model development all the way through to the deployment and maintenance of models and systems in production. Our work spans statistical modeling, classical machine learning, and modern AI and LLM techniques.

The Machine Learning Analyst's primary responsibility will be to contribute to these efforts alongside other team members. Over time, you will develop the technical and domain expertise needed to take increasing ownership of individual components and ultimately end-to-end projects.

The work is highly collaborative and spans quantitative research, software engineering, and machine learning. Analysts work with other members of the machine learning team and portfolio managers to translate loosely defined investment ideas into practical tools and models. Successful candidates will have solid programming foundations, be comfortable translating between qualitative and quantitative descriptions of problems and be excited to build data analysis and machine learning systems against the backdrop of portfolio management.

Since the team works closely with trading floor personnel to assist with portfolio management decision-making, an interest in economic and financial markets is essential, but no specific prior experience is necessary.

This role is open to candidates available to begin in the near term, as well as students expecting to complete their undergraduate degree between Fall 2026 and Summer 2027. Start dates will be determined based on candidate availability and, for students, degree completion.

 Responsibilities:

  • Collaborate closely with Machine Learning team members, portfolio managers, and researchers to translate open-ended investment questions into well-defined analytical and machine learning problems
  • Develop and evaluate data-driven machine learning and quantitative models, including simulation- and optimization-based approaches, for investment-related problems
  • Contribute to maintaining existing models and analytic tools in production
  • Over time, take ownership of individual features and components and full projects
  • Clearly document and communicate methods, assumptions, results, and limitations of models to other researchers and trading professionals across the firm
  • Stay current with relevant new techniques and technologies in machine learning and artificial intelligence, particularly as they pertain to finance and investing

Qualifications:

  • Bachelor's degree (or equivalent) in a rigorous quantitative field
  • 0-2 years of experience through industry internships, undergraduate research or thesis, or substantial independent technical projects involving software development, data analysis, or machine learning
  • Proficiency in Python and familiarity with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn, etc), with experience in other languages a plus
  • Experience working with and analyzing data from multiple sources and in multiple formats
  • Familiarity with machine learning and statistical modeling fundamentals, including model evaluation and experimental design
  • Demonstrated ability to independently scope and execute open-ended technical projects
  • Interest in financial markets, intellectual curiosity, and comfort in working on open-ended problems
  • Strong written and verbal communication skills

Current anticipated annual base salary range: $110,000 - $145,000

Base salary within the range will be determined by various factors including but not limited to the individual's experience, skills and qualifications.