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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

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 ...

Pwc

AML/Sanctions- Data Scientist- Associate

Boston, MA

$63K - $140K/yr

... in research to support project objectives - Uphold professional standards and ethical guidelines ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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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 14, 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 August 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $129,461 per year, or $62.2 per hour.

Research Software Developer - Python / PyTorch

StaffRight Associates, LLC

Boston, MA • On-site

$250K - $600K/yr

Other

Posted 4 days ago

Job description

***While this position is posted in the Boston market to maximize regional outreach and exposure, the role is physically located in New York City. The successful candidate will be based in NYC to support local operations and team integration.

Practice Group: Computer Science / Scientific Infrastructure & Machine Learning

About the Role

Innovation in quantitative science, drug discovery, and high-performance computing requires more than data—it demands world-class infrastructure, sophisticated modeling, and flawless execution. StaffRight Associates is recruiting for an elite talent for a premier global quantitative research and technology firm in New York City.

We are seeking an exceptional Research Software Developer to join a highly collaborative, intellectually rigorous team where computational excellence is the standard. Software developers at all levels of experience—including entry-level—will develop, deploy, and support software tools and systems for scientific modeling, simulation, and analysis. This role is directly involved in building infrastructure for distributed/parallel training, leveraging LLMs, and applying advanced machine learning models to drive cutting-edge drug discovery efforts.

This is a high-impact position designed for a driven problem-solver who thrives at the intersection of complex architecture, advanced algorithms, and real-world scientific execution, working alongside a world-class team of chemists, biologists, machine learning engineers, and computer scientists.

Key Responsibilities

  • Architect & Build: Design, optimize, and maintain critical tools and infrastructure driving scientific data pipelines, LLM model training and deployment, and large-scale distributed systems.

  • Data & Research Execution: Translate complex datasets, chemical/ML data, and abstract technical challenges into clear, scalable, high-performance workflows and cheminformatics tools.

  • Systemic Optimization: Identify technical friction points, eliminate bottlenecks, install/troubleshoot software, and enhance operational velocity across GPU clusters and high-concurrency computing environments.

  • Cross-Functional Collaboration: Serve as a key technical interface, working directly with quantitative researchers, machine learning engineers, biologists, and computational chemists to improve end-user computing environments.

What You Bring

  • Academic Pedigree: Bachelors, Masters, or Ph.D. in Computer Science, Applied Mathematics, Physics, Computational Chemistry, or a related STEM discipline.

  • Technical Mastery: Strong command of Core Technical Concepts and tools, specifically:

    • Languages: Python, C++, Linux/UNIX Tools

    • ML/AI Frameworks: PyTorch, MLflow, vLLM, SGLang, Generative & Agentic AI

    • Infrastructure: GPU Clusters, Distributed/Parallel Training, Data Management Pipelines

  • Analytical Precision: Proven track record in scripting and automating scientific workflows, managing complex data, or solving multi-faceted problems in high-performance computing.

  • Agile Mindset: Intellectual curiosity, versatility, and a track record of achievement, balancing rigorous engineering standards with fast-paced execution.

Compensation & Benefits

  • Base Salary Range: $250,000 – $600,000 (Determined based on prior experience and educational background)

  • Additional Benefits: Variable compensation (sign-on and year-end bonuses), generous full benefit package, relocation assistance, and immigration support.

  • Work Arrangement: Hybrid model (In-office Tuesday–Thursday; optional remote Monday and Friday).

Why Apply Through StaffRight Associates?

At StaffRight Associates, we specialize in placing elite technical talent into industry-defining roles. Partnering with us gives you:

  • Direct Access: We get your profile directly in front of the hiring decision-makers, bypassing automated ATS filters.

  • Transparent Guidance: Comprehensive insight into the interview process, technical expectations, and firm culture.

  • Confidential Representation: Your background and candidacy are handled with total discretion at every step.

Apply