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Quant Finance Jobs in Boston, MA (NOW HIRING)

... of financial markets in equities and across the business in general. You will develop and enhance quantitative investment strategies using statistical and quantitative techniques, including ...

Become a domain owner for key quant datasets (e.g., market data, fundamentals, corporate actions ... Strong familiarity with quantitative / financial / investment datasets (e.g., prices/returns ...

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Quant Finance information

See Boston, MA salary details

$106.2K

$183.8K

$281.1K

How much do quant finance jobs pay per year?

As of Sep 3, 2026, the average yearly pay for quant finance in Boston, MA is $183,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,700.00 and $215,500.00 per year, depending on experience, location, and employer.

What is a quant finance?

A Quant Finance job involves applying mathematical models, statistical techniques, and programming skills to analyze financial markets and develop trading or risk management strategies. Quantitative analysts, or “quants,” work in areas like algorithmic trading, portfolio management, and derivatives pricing. They use advanced concepts from mathematics, statistics, and computer science to optimize investment decisions and manage financial risk.

What do quant finance professionals do?

Quant Finance professionals are often involved in designing, developing, and implementing mathematical models to price securities, manage risk, and optimize investment strategies. Their day-to-day work can include analyzing large data sets, running simulations, building algorithmic trading systems, and collaborating with traders, portfolio managers, and software engineers. They may also contribute to scenario analysis, stress testing portfolios, and validating existing models to ensure regulatory compliance and accuracy. The role demands adaptability and close teamwork, as projects can shift rapidly in response to market changes or new research findings.

What skills and qualifications are needed to thrive in quant finance?

To thrive in Quant Finance, a strong background in mathematics, statistics, computer science, and finance, often supplemented by a graduate degree in a quantitative field, is essential. Mastery of programming languages such as Python, R, or C++, and familiarity with financial modeling platforms and certifications like CFA or FRM, are typically required. Excellent analytical thinking, problem-solving abilities, and effective communication skills help individuals excel in complex, collaborative environments. These skills ensure the ability to design robust quantitative models, interpret data-driven insights, and collaborate successfully with both technical and non-technical colleagues.

What are quant finance jobs in finance?

Quant finance jobs involve developing and applying mathematical models and algorithms to analyze financial markets, manage risk, and optimize investment strategies. These roles typically require strong skills in mathematics, programming, and finance, often utilizing tools like Python, R, or MATLAB. Quantitative analysts, or quants, work in trading firms, investment banks, and hedge funds to support data-driven decision-making.

What are the most commonly searched types of Quant Finance jobs in Boston, MA?

The most popular types of Quant Finance jobs in Boston, MA are:

Infographic showing various Quant Finance job openings in Boston, MA as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $183,843 per year, or $88.4 per hour.

Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA

Full-time

Re-posted yesterday


Job description

Position Overview
We are seeking an undergraduate student to support our Finance and IT teams with a focus on data analysis and quantitative problem-solving. This internship provides hands-on experience working with financial datasets, basic modeling, and tools used in data-driven decision-making.
We welcome candidates from analytical and cross-disciplinary backgrounds—including mathematics, applied mathematics, statistics, economics, engineering, computer science, physics, astrophysics, quantum computing, biotech and other data-driven fields—who are interested in applying quantitative thinking to real-world business and financial problems.
Key Responsibilities
  • Work with structured datasets to support basic financial and operational analysis 
  • Assist in organizing, cleaning, and validating data for reporting and modeling 
  • Build and maintain spreadsheets and simple analytical models in Excel 
  • Support development of reports, dashboards, and visualizations 
  • Identify patterns, inconsistencies, or trends in data 
  • Assist with automation or efficiency improvements using tools like Excel, SQL, or Python (where applicable) 
  • Collaborate with team members on data, finance, and technology-related tasks 
  • Apply quantitative or analytical approaches from coursework to practical business problems 
Required Qualifications
  • Currently pursuing a Bachelor’s degree in a quantitative or analytical field (e.g., Mathematics, Applied Mathematics, Physics, Astrophysics, Statistics, Economics, Computer Science, Quantum Computing, Engineering, Finance, Biotech, or other data-driven discipline) 
  • Strong problem-solving and analytical thinking skills 
  • Familiarity with: 
    • Microsoft Excel (formulas, basic functions) 
    • Microsoft Office (Word, PowerPoint) 
  • Comfort working with numbers and structured data 
  • Strong attention to detail and willingness to learn 
Preferred Qualifications
  • Exposure to programming or data tools (Python, SQL, R, or similar) through coursework or projects 
  • Experience with Excel functions (e.g., VLOOKUP, pivot tables) 
  • Introductory knowledge of statistics, probability, or data analysis 
  • Interest in financial markets, data analytics, or fintech 
  • Coursework or projects involving: 
    • Data analysis or visualization
  • Mathematical modeling 
  • Machine learning (introductory) 
  • Computational or applied problem-solving 
What You’ll Gain
  • Hands-on experience applying quantitative skills in a real-world business environment 
  • Exposure to financial data, analytics workflows, and decision-making processes 
  • Opportunity to build foundational data and modeling skills 
  • Mentorship and professional development 
  • Insight into career paths in quantitative finance, data science, and analytics 
Internship Details
  • Summer 2026, with possible extension