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Financial Engineering Intern Jobs in Boston, MA (NOW HIRING)

Materion

2026 Internship & Co-Op Program

Westford, MA · On-site

$15 - $25/hr

Junior or higher enrolled in Materials Science, Metallurgical, Mining, Chemical, Civil, Optical, Mechanical, Manufacturing Engineering, Business, Finance, Accounting, Communications, Computer Science ...

Quantiphi, Inc.

Intern - IT & Facilities Support

Boston, MA

$16.25 - $21.75/hr

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on ... We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods ...

Quantiphi, Inc.

Intern - IT & Facilities Support

Boston, MA · On-site

$16.25 - $21.75/hr

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on ... We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods ...

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All JobsFinancial Engineering Intern JobsFinancial Engineering Intern Jobs in Boston, MA

Financial Engineering Intern information

See Boston, MA salary details

$12

$20

$32

How much do financial engineering intern jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for financial engineering intern in Boston, MA is $20.98, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $22.74 per hour, depending on experience, location, and employer.

What types of projects or tasks do Financial Engineering Interns typically work on during their internship?

As a Financial Engineering Intern, you may work on projects such as developing quantitative models, conducting statistical analyses, back-testing trading strategies, or automating data collection and reporting. Your daily tasks could include coding, analyzing financial datasets, preparing presentations, or assisting full-time team members with ongoing projects. Interns often collaborate with traders, analysts, and software engineers, gaining exposure to both technical and financial aspects of the business. This hands-on experience provides valuable insight into the financial services industry and helps build skills necessary for future roles in finance or quantitative analysis.

What does a Financial Engineering Intern do?

A Financial Engineering Intern applies quantitative techniques, programming skills, and financial theories to solve complex problems in finance. Responsibilities typically include data analysis, model development, risk assessment, and algorithm implementation for trading or portfolio management. Interns often use tools like Python, MATLAB, or Excel to analyze historical data and optimize financial strategies. They work closely with quantitative analysts, traders, and risk managers to gain hands-on experience in financial markets. This role requires strong analytical skills, coding proficiency, and a solid understanding of financial concepts.

What are the key skills and qualifications needed to thrive in the Financial Engineering Intern position, and why are they important?

A Financial Engineering Intern typically needs strong quantitative and analytical skills, proficiency in mathematics, statistics, and finance, and is often pursuing or has completed coursework in related fields. Familiarity with programming languages like Python, R, or MATLAB, as well as experience with data analysis tools and financial modeling software, are commonly expected. Attention to detail, eagerness to learn, teamwork, and effective communication are valuable soft skills in this role. These competencies enable interns to analyze complex financial data, collaborate with colleagues, and contribute to innovative financial solutions.

What are popular job titles related to Financial Engineering Intern jobs in Boston, MA? For Financial Engineering Intern jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Financial Engineering Intern jobs in Boston, MA look for? The top searched job categories for Financial Engineering Intern jobs in Boston, MA are:
Financial Engineering Intern jobs near you
Infographic showing various Financial Engineering Intern job openings in Boston, MA as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $43,645 per year, or $21 per hour.

Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Re-posted 23 days ago

Job description

Ph.D. Graduate Intern – Quantitative Portfolio Risk Analytics (Cross-Disciplinary)

Position Overview
We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.
We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to apply—especially those interested in translating rigorous quantitative methods into real-world financial applications.
Key Responsibilities
  • Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches 
  • Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk 
  • Design and implement analytical tools and pipelines using Python and SQL 
  • Contribute to model validation, backtesting, and performance evaluation 
  • Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure 
  • Communicate complex quantitative insights through clear visualizations and technical summaries 
  • Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analytics 
Required Qualifications
  • Currently enrolled in a graduate Ph.D. program in a highly quantitative field (e.g., Math, Applied Mathematics, Physics, Astrophysics, Statistics, Computer Science, Engineering, Financial Engineering, Economics, Biotech or other data-driven disciplines) 
  • Strong foundation in probability, statistics, and numerical methods 
  • Proficiency in Python (NumPy, pandas, or similar) and/or SQL 
  • Experience working with large datasets and implementing quantitative models 
  • Ability to think rigorously about complex systems and translate theory into practical solutions 
Preferred Qualifications
  • Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk) 
  • Experience with scientific computing, optimization, or machine learning 
  • Background or research in cross-disciplinary areas such as: 
    • Statistical physics, complex systems, or network theory 
    • Applied or computational mathematics 
    • Machine learning or probabilistic modeling 
    • Quantum computing or advanced optimization techniques 
    • Topological data analysis or geometric data methods 
  • Prior research, publications, or project work demonstrating advanced quantitative modeling 
What You’ll Gain
  • Exposure to real-world portfolio risk problems at the intersection of finance and advanced analytics 
  • Opportunity to apply cutting-edge academic methods in a production environment 
  • Collaboration with a highly quantitative, cross-disciplinary team 
  • Experience working with large-scale financial data and modern analytics infrastructure 
  • Mentorship and potential pathway to full-time quantitative roles 
Duration & Compensation
  • Internship: Summer 2026, with potential to extend 
  • Paid internship (competitive, based on experience and location)