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Entry Level Quantitative Researcher Jobs in Boston, MA

Bracebridge Capital

Machine Learning Analyst

Boston, MA

$110K - $145K/yr

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 ...

Bracebridge Capital

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

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 ...

Thinkbrg

Fall 2027 Advisory Associate

Boston, MA · On-site

Analyzing quantitative and qualitative data to identify trends, risks, and opportunities for ... Research: Ability to perform complex research accurately, thoroughly, and efficiently. * Problem ...

Tufts Medicine

Audiologist

Boston, MA · On-site

An entry level role that applies broad theoretical job knowledge typically obtained through ... May conduct research on types of-and treatment for-hearing, balance, and related disorders. Others ...

Tufts Medical Center

Audiologist

Boston, MA · On-site

An entry level role that applies broad theoretical job knowledge typically obtained through ... May conduct research on types of-and treatment for-hearing, balance, and related disorders. Others ...

Tufts Medical Center

Audiologist

Boston, MA · On-site

$102K/yr

An entry level role that applies broad theoretical job knowledge typically obtained through ... May conduct research on types of--and treatment for--hearing, balance, and related disorders.

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Entry Level Quantitative Researcher information

See Boston, MA salary details

$57K

$129.5K

$213.5K

How much do entry level quantitative researcher jobs pay per year?

As of Aug 9, 2026, the average yearly pay for entry level quantitative researcher in Boston, MA is $129,461.00, 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 is an entry level quantitative researcher?

An Entry Level Quantitative Researcher applies mathematical, statistical, and programming skills to analyze financial data and develop models for trading or investment strategies. They work with large datasets, conduct statistical analysis, and collaborate with traders and senior researchers to optimize decision-making. This role typically requires proficiency in programming languages like Python, R, or C++, as well as a strong foundation in probability, statistics, and machine learning. It serves as a starting point for a career in quantitative finance, often within hedge funds, proprietary trading firms, or financial institutions.

What are the key skills and qualifications needed to thrive as an entry level quantitative researcher?

To thrive as an Entry Level Quantitative Researcher, you need strong analytical and mathematical skills, a degree in a quantitative field such as statistics, mathematics, engineering, or a related discipline, and proficiency in data analysis. Familiarity with statistical programming languages like Python, R, or MATLAB, as well as experience with data visualization tools and SQL databases, are commonly expected. Attention to detail, effective problem-solving abilities, and strong communication skills help you interpret findings and work effectively with team members. These capabilities are essential for making accurate data-driven decisions and contributing valuable insights to research projects.

What does an entry level quantitative researcher do?

A typical day for an Entry Level Quantitative Researcher often involves collecting and cleaning data, running statistical analyses, and preparing reports or presentations to communicate findings. You will frequently work alongside senior researchers, data scientists, and business analysts to tackle complex research questions, provide quantitative insights, and support ongoing projects. Collaboration through team meetings and code reviews is common, helping you learn from experienced colleagues and refine your analytical approach. Over time, this collaborative environment offers valuable opportunities for professional development and skill advancement within the organization.

What are the most commonly searched types of Quantitative Researcher jobs in Boston, MA? The most popular types of Quantitative Researcher jobs in Boston, MA are:
What are popular job titles related to Entry Level Quantitative Researcher jobs in Boston, MA? For Entry Level Quantitative Researcher jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Entry Level Quantitative Researcher jobs in Boston, MA look for? The top searched job categories for Entry Level Quantitative Researcher jobs in Boston, MA are:
Entry Level Quantitative Researcher jobs near you
Infographic showing various Entry Level Quantitative Researcher job openings in Boston, MA as of July 2026, with employment types broken down into 56% Full Time, 23% Part Time, and 21% Contract. Highlights an 100% In-person job distribution, with an average salary of $129,461 per year, or $62.2 per hour.

Machine Learning Analyst

Bracebridge Capital

Boston, MA

$110K - $145K/yr

Full-time

Posted 25 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.

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