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Internship Cyber Security Risk Analyst Jobs in Massachusetts

IPG Photonics

Cyber Security Analyst

Marlborough, MA

The cybersecurity analyst is a member of the global cybersecurity team and works closely with the ... Reports to cybersecurity leadership concerning residual risk, vulnerabilities and other security ...

IPG Photonics

Cyber Security Analyst

Marlborough, MA · On-site

The cybersecurity analyst is a member of the global cybersecurity team and works closely with the ... Reports to cybersecurity leadership concerning residual risk, vulnerabilities and other security ...

Lendbuzz

Cyber Security Analyst (Boston)

Boston, MA · On-site

They are seeking a Cyber Security Analyst to investigate security alerts, implement policies, and ... security risk assessments and vulnerability scans to detect potential weaknesses in systems ...

MassMutual

Third-Party Risk Consultant

Boston, MA · On-site

$86K - $113K/yr

Analyze third-party services, data flows, and system integrations to identify and recommend ... Bachelor's degree, preferably in technology, cybersecurity, risk management, or business-related ...

MassMutual

Third-Party Risk Consultant

Springfield, MA · On-site

$86K - $113K/yr

Analyze third-party services, data flows, and system integrations to identify and recommend ... Bachelor's degree, preferably in technology, cybersecurity, risk management, or business-related ...

McBride

$140K - $150K/yr

... Plans, Security Risk Analyses, OPSEC Plans, and other required system security engineering ... Provide leadership in analyzing and integrating cybersecurity requirements into system design and ...

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Internship Cyber Security Risk Analyst information

What are the key skills and qualifications needed to thrive as an internship cyber security risk analyst?

To thrive as an Internship Cyber Security Risk Analyst, you need foundational knowledge in information security principles, risk assessment, and familiarity with security frameworks, often supported by coursework in cybersecurity or related fields. Experience with tools such as vulnerability scanners, SIEM platforms, and basic certifications like CompTIA Security+ are highly valued. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret findings and collaborate with teams. These capabilities are crucial for identifying vulnerabilities, supporting risk mitigation, and ensuring the security posture of an organization.

What is the difference between Internship Cyber Security Risk Analyst vs Cyber Security Risk Analyst?

AspectInternship Cyber Security Risk AnalystCyber Security Risk Analyst
QualificationsEnrolled in or recent graduate of relevant degree programs; some certifications beneficialTypically requires professional certifications (e.g., CISSP, CISA) and experience
Work EnvironmentInternship setting, learning-focused, supervisedFull-time, professional role with independent responsibilities
ResponsibilitiesAssisting with risk assessments, supporting security projects, learning proceduresConducting risk analysis, developing mitigation strategies, managing security protocols

The Internship Cyber Security Risk Analyst role is an entry-level, learning position designed for students or recent graduates gaining industry experience. In contrast, a Cyber Security Risk Analyst is a full-time professional responsible for managing and analyzing security risks independently. The internship offers foundational exposure, while the full analyst role requires more advanced skills and certifications.

What types of projects or tasks can an intern expect to work on as a cyber security risk analyst?

As an intern in Cyber Security Risk Analysis, you can expect to assist with identifying and assessing potential security risks within an organization’s IT infrastructure. Common tasks may include helping to review security policies, conduct vulnerability assessments, and analyze security incidents under the guidance of senior analysts. You may also collaborate with IT and compliance teams to document findings and recommend mitigation strategies. This role offers the chance to gain hands-on experience with industry-standard tools and exposure to real-world risk management processes, providing a strong foundation for a future career in cybersecurity.

What does an internship cyber security risk analyst do?

An Internship Cyber Security Risk Analyst supports the cybersecurity team by identifying, assessing, and helping to mitigate potential security risks within an organization’s information systems. Interns in this role often assist with evaluating security measures, conducting vulnerability assessments, and reviewing compliance with security policies. They may also help develop risk reports and collaborate with other teams to implement best security practices. This position is ideal for those looking to gain hands-on experience in the field of cybersecurity risk management.
What cities in Massachusetts are hiring for Internship Cyber Security Risk Analyst jobs? Cities in Massachusetts with the most Internship Cyber Security Risk Analyst job openings:
Internship Cyber Security Risk Analyst jobs near you
Infographic showing various Internship Cyber Security Risk Analyst job openings in Massachusetts as of August 2026, with employment types broken down into 5% Internship, and 95% Full Time. Highlights an 89% In-person, and 11% Remote job distribution.

Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Re-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 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)