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Risk Analyst Intern Jobs (NOW HIRING)

Chemelex

Transformation Analyst Intern

Redwood City, CA · On-site

$24/hr

The intern will assist with data analysis, project coordination, cost modeling, and documentation ... Maintain project documentation, risk logs, action registers, and status reports. Data & Cost ...

tms

Procurement Analyst Intern

Chicago, IL · On-site

$20/hr

The team this intern will report to is a group of "team first" problem solvers responsible for ... Supply Chain Risk Management * Support Global Supply Chain Risk Assessment efforts by mapping ...

tms

Procurement Analyst Intern

Chicago, IL · On-site

$20/hr

The team this intern will report to is a group of "team first" problem solvers responsible for ... Supply Chain Risk Management * Support Global Supply Chain Risk Assessment efforts by mapping ...

Hearst

Automotive Analyst Intern

Lawrenceville, GA

$20/hr

... Analyst Intern, you will get hands-on exposure to how an automotive data company turns raw ... risk and increase profitability, we publish and deliver our data on a daily, weekly, and monthly ...

Zscaler

Insider Risk Analyst - SkillBridge Intern

Role We are looking for an Insider Risk Analyst - SkillBridge Intern to join our Enterprise Security team. This is a remote role, reporting to the Director of Federal Security Operations and Insider ...

Hearst

Automotive Analyst Intern

Lawrenceville, GA

$20/hr

... Analyst Intern, you will get hands-on exposure to how an automotive data company turns raw ... risk and increase profitability, we publish and deliver our data on a daily, weekly, and monthly ...

Hearst

Automotive Analyst Intern

Lawrenceville, GA · On-site

$20/hr

... Analyst Intern, you will get hands-on exposure to how an automotive data company turns raw ... risk and increase profitability, we publish and deliver our data on a daily, weekly, and monthly ...

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Risk Analyst Intern information

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How much do risk analyst intern jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for risk analyst intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Risk Analyst Intern vs Risk Analyst?

AspectRisk Analyst InternRisk Analyst
Required CredentialsTypically pursuing or recently completed a degree in finance, economics, or related fieldsBachelor's degree often required; certifications like FRM or CRM preferred
Work EnvironmentInternship setting, often part-time or temporary, in financial institutions or consulting firmsFull-time professional role in banks, insurance companies, or investment firms
Employer & Industry UsageUsed in entry-level or training programs within finance and risk management sectorsEstablished role with ongoing responsibilities in risk assessment and mitigation

The main difference between a Risk Analyst Intern and a Risk Analyst lies in experience, responsibilities, and employment status. Interns are typically students gaining initial exposure, while Risk Analysts are full-time professionals handling complex risk assessments.

What does a Risk Analyst Intern do?

A Risk Analyst Intern supports risk management teams by analyzing data to identify potential risks that could impact a company’s financial health or operations. Their tasks often include collecting data, preparing reports, assisting in risk assessments, and supporting the development of risk mitigation strategies. Interns may work with different types of risks, such as financial, operational, or compliance-related risks. This role provides hands-on experience in analyzing trends, using risk management software, and gaining industry knowledge. It is a valuable stepping stone for those interested in a career in risk management or finance.

What types of projects and responsibilities can a Risk Analyst Intern expect during their internship?

As a Risk Analyst Intern, you will typically assist with identifying, assessing, and monitoring potential risks within the organization. Your daily tasks may include analyzing data sets, preparing risk reports, supporting the development of risk models, and collaborating with senior analysts to evaluate financial or operational risks. Interns often participate in cross-functional meetings and may help implement risk mitigation strategies, giving you practical exposure to industry tools and methodologies. This role is a great opportunity to build analytical skills, learn about regulatory requirements, and gain hands-on experience in risk management processes.

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

To thrive as a Risk Analyst Intern, you need strong analytical abilities, attention to detail, and foundational knowledge in finance, economics, or statistics—often supported by progress toward a relevant degree. Familiarity with data analysis tools such as Excel, SQL, or statistical software, and sometimes basic knowledge of risk management frameworks, is typically expected. Effective communication, problem-solving skills, and a willingness to learn help interns stand out in this role. These skills are crucial for accurately identifying, assessing, and communicating potential risks to support informed business decision-making.
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Risk Analyst Intern jobs near you

Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Posted 10 days ago

Be an early applicant

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)