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Portfolio Risk Management Internship Jobs in Boston, MA

Director, Investment Risk

Boston, MA ยท On-site

$175 - $225/hr

Partner with portfolio managers, analysts, and investment leadership to understand portfolio construction, risk drivers, and exposures while providing independent review, challenge, and oversight of ...

You'll own critical parts of the investment process, from signal validation to portfolio risk management, with direct visibility into how your work affects real capital allocation in multi-billion ...

... portfolio, oversee claims, maintain regulatory insurance compliance, and scale risk management ... processes in line with business growth. What you'll do: Insurance Administration & Policy Support

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Portfolio Risk Management Internship information

See Boston, MA salary details

$2.3K

$7K

$8.5K

How much do portfolio risk management internship jobs pay per month?

As of Jul 18, 2026, the average monthly pay for portfolio risk management internship in Boston, MA is $6,995.92, according to ZipRecruiter salary data. Most workers in this role earn between $4,800.00 and $8,325.00 per month, depending on experience, location, and employer.

What is the difference between Portfolio Risk Management Internship vs Portfolio Risk Analyst?

AspectPortfolio Risk Management InternshipPortfolio Risk Analyst
CredentialsTypically pursuing or recent graduate, some finance or risk-related courseworkBachelor's or master's in finance, economics, or related field; relevant certifications preferred
Work EnvironmentInternship setting, supervised, entry-level tasksFull-time professional role, responsible for analyzing and managing risk
Employer & IndustryFinancial firms, asset managers, banksFinancial institutions, investment firms, asset management companies
Search & Comparison IntentEntry-level, internship opportunities, learning rolesFull-time career positions, risk analysis roles

The main difference is that a Portfolio Risk Management Internship is an entry-level, temporary position designed for students or recent graduates gaining exposure to risk management. In contrast, a Portfolio Risk Analyst is a full-time professional responsible for ongoing risk assessment and management within financial firms. Internships often serve as a stepping stone toward a full analyst role.

What are the key skills and qualifications needed to thrive as a Portfolio Risk Management Intern, and why are they important?

To thrive as a Portfolio Risk Management Intern, you need strong quantitative analysis skills, a background in finance or economics, and proficiency in data interpretation. Familiarity with risk management software, Excel, and statistical tools such as Python or R is highly valued, along with coursework or certifications in risk or investment management. Attention to detail, problem-solving abilities, and effective communication are important soft skills for collaborating with teams and presenting findings. These skills ensure accurate risk assessment, informed decision-making, and valuable support to the portfolio management process.

What types of projects and responsibilities can I expect during a Portfolio Risk Management Internship?

As a Portfolio Risk Management intern, you can expect to assist with analyzing financial data, identifying potential risks to investment portfolios, and supporting the development of risk mitigation strategies. Interns often work closely with senior analysts and portfolio managers, using quantitative tools to assess market and credit risk exposures. You may also help prepare risk reports and participate in meetings where findings are discussed. This hands-on experience offers valuable insight into how risk management decisions are made within investment teams.

What is a Portfolio Risk Management Internship?

A Portfolio Risk Management Internship is a temporary position, often for students or recent graduates, focused on supporting the risk management activities of an investment portfolio. Interns typically assist in analyzing financial data, identifying potential risks, and helping develop strategies to mitigate those risks within a portfolio of assets. This role provides hands-on experience with risk assessment tools, exposure to financial markets, and insights into how investment decisions are made. Interns may work closely with portfolio managers, analysts, and risk professionals to understand and manage the balance between risk and return.
What are the most commonly searched types of Portfolio Risk Management jobs in Boston, MA? The most popular types of Portfolio Risk Management jobs in Boston, MA are:
What cities near Boston, MA are hiring for Portfolio Risk Management Internship jobs? Cities near Boston, MA with the most Portfolio Risk Management Internship job openings:

Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA โ€ข On-site

Full-time

Re-posted 12 days ago


Job description

Ph.D. Graduate Intern โ€“ 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 applyโ€”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 approachesย 
  • Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of riskย 
  • Design and implement analytical tools and pipelines using Python and SQLย 
  • Contribute to model validation, backtesting, and performance evaluationย 
  • Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructureย 
  • Communicate complex quantitative insights through clear visualizations and technical summariesย 
  • Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analyticsย 
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)ย 
  • Strong foundation in probability, statistics, and numerical methodsย 
  • Proficiency in Python (NumPy, pandas, or similar) and/or SQLย 
  • Experience working with large datasets and implementing quantitative modelsย 
  • Ability to think rigorously about complex systems and translate theory into practical solutionsย 
Preferred Qualifications
  • Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk)ย 
  • Experience with scientific computing, optimization, or machine learningย 
  • Background or research in cross-disciplinary areas such as:ย 
    • Statistical physics, complex systems, or network theoryย 
    • Applied or computational mathematicsย 
    • Machine learning or probabilistic modelingย 
    • Quantum computing or advanced optimization techniquesย 
    • Topological data analysis or geometric data methodsย 
  • Prior research, publications, or project work demonstrating advanced quantitative modelingย 
What Youโ€™ll Gain
  • Exposure to real-world portfolio risk problems at the intersection of finance and advanced analyticsย 
  • Opportunity to apply cutting-edge academic methods in a production environmentย 
  • Collaboration with a highly quantitative, cross-disciplinary teamย 
  • Experience working with large-scale financial data and modern analytics infrastructureย 
  • Mentorship and potential pathway to full-time quantitative rolesย 
Duration & Compensation
  • Internship: Summer 2026, with potential to extendย 
  • Paid internship (competitive, based on experience and location)
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