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Risk Analyst Graduate Jobs (NOW HIRING)

FINRA is seeking a Senior Risk Monitoring Analyst to play a pivotal role in safeguarding the ... Graduate degree (MBA or JD) * Relevant industry certifications (e.g., CFA, CAMS, Series licenses ...

FINRA is seeking a Senior Risk Monitoring Analyst to play a pivotal role in safeguarding the ... Graduate degree (MBA or JD) * Relevant industry certifications (e.g., CFA, CAMS, Series licenses ...

FINRA is seeking a Senior Risk Monitoring Analyst to play a pivotal role in safeguarding the ... Graduate degree (MBA or JD) * Relevant industry certifications (e.g., CFA, CAMS, Series licenses ...

The Summer Analyst will contribute to a variety of the Risk team's functions and gain practical ... December 2027 or Spring 2028 graduate in a financial and/or quantitative field * Strong interest in ...

FINRA is seeking a Senior Risk Monitoring Analyst to play a pivotal role in safeguarding the ... Graduate degree (MBA or JD) * Relevant industry certifications (e.g., CFA, CAMS, Series licenses ...

FINRA is seeking a Senior Risk Monitoring Analyst to play a pivotal role in safeguarding the ... Graduate degree (MBA or JD) * Relevant industry certifications (e.g., CFA, CAMS, Series licenses ...

FINRA is seeking a Senior Risk Monitoring Analyst to play a pivotal role in safeguarding the ... Graduate degree (MBA or JD) * Relevant industry certifications (e.g., CFA, CAMS, Series licenses ...

The Summer Analyst will contribute to a variety of the Risk team's functions and gain practical ... December 2027 or Spring 2028 graduate in a financial and/or quantitative field * Strong interest in ...

FINRA is seeking a Senior Risk Monitoring Analyst to play a pivotal role in safeguarding the ... Graduate degree (MBA or JD) * Relevant industry certifications (e.g., CFA, CAMS, Series licenses ...

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Risk Analyst Graduate information

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$15

$40

$65

How much do risk analyst graduate jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for risk analyst graduate in the United States is $40.49, according to ZipRecruiter salary data. Most workers in this role earn between $29.81 and $49.28 per hour, depending on experience, location, and employer.

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

To thrive as a Risk Analyst Graduate, you need strong analytical skills, proficiency in data interpretation, and a degree in finance, economics, mathematics, or a related field. Familiarity with risk management software, Excel, and statistical analysis tools such as R or Python is typically expected. Attention to detail, effective communication, and problem-solving abilities help you stand out in this position. These skills enable accurate risk assessments and informed decision-making, which are essential for protecting organizational assets and supporting strategic objectives.

What does a Risk Analyst Graduate do?

A Risk Analyst Graduate is an entry-level professional who supports organizations in identifying, assessing, and mitigating potential risks that could impact business operations or objectives. They work under the guidance of experienced risk analysts and managers, assisting with data analysis, preparing risk reports, and evaluating the effectiveness of risk management strategies. Their role often involves using statistical tools, conducting research, and staying updated on industry trends to help the organization make informed decisions. This position is typically part of a graduate development program and serves as a foundation for a career in risk management.

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

AspectRisk Analyst GraduateRisk Analyst
Required CredentialsBachelor's degree in finance, economics, or related field; internships preferredSame as Risk Analyst Graduate; often requires additional certifications like FRM or CFA
Work EnvironmentEntry-level, training-focused, team-basedMid-level, more independent, analytical
Employer & Industry UsageFinancial institutions, insurance, consulting firmsSame as Risk Analyst; with increased responsibilities

The main difference between a Risk Analyst Graduate and a Risk Analyst is experience level. The graduate role is entry-level, focusing on learning and supporting risk assessments, while the Risk Analyst has more experience, handles complex analysis, and may hold relevant certifications. Both roles are common in financial sectors and share similar educational backgrounds, but the Risk Analyst position involves greater responsibility and expertise.

What are some common challenges faced by Risk Analyst Graduates in their first year, and how can they effectively overcome them?

Risk Analyst Graduates often encounter challenges such as adapting to complex data analysis tools, understanding intricate regulatory requirements, and quickly learning industry-specific risk models. Building strong relationships with senior analysts and actively seeking mentorship can help ease the learning curve. Additionally, regularly participating in team meetings and cross-functional projects provides valuable exposure to real-world risk scenarios and enhances collaborative skills. Staying proactive about continuous learning—through training sessions and online resources—can also significantly improve confidence and performance in the role.
More about Risk Analyst Graduate jobs
What cities are hiring for Risk Analyst Graduate jobs? Cities with the most Risk Analyst Graduate job openings:
What states have the most Risk Analyst Graduate jobs? States with the most job openings for Risk Analyst Graduate jobs include:
Infographic showing various Risk Analyst Graduate job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 64% Full Time, 28% Part Time, and 6% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $84,210 per year, or $40.5 per hour.

Ph.D. Graduate Intern Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA

Full-time

Posted 27 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)