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Portfolio Risk Management Internship Jobs (NOW HIRING)

Flex

Portfolio Risk Analytics Lead

The Portfolio Risk Analytics Lead is a key member of the Flex Risk Management Leadership Team (reports to the Chief Risk Officer) who will have the opportunity to take the intelligence engine at Flex ...

Flex

Portfolio Risk Analytics Lead

Concord, NC · Remote

$150K - $250K/yr

The Portfolio Risk Analytics Lead is a key member of the Flex Risk Management Leadership Team (reports to the Chief Risk Officer) who will have the opportunity to take the intelligence engine at Flex ...

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Portfolio Risk Management Internship information

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

As of Jul 10, 2026, the average monthly pay for portfolio risk management internship in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 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.
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Portfolio Risk Management Internship jobs near you

Ph.D. Graduate Intern Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Posted 3 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 applyespecially 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 Youll 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)