Risk Modeling Intern

Munich Re Automation Solutions

Hartford, CTFresher6d agovia LinkedIn

About the Role

  • Part-time intern to begin in January 2027, continuing with a full-time schedule for 11 weeks during the summer period (May – August).
  • Gain hands-on experience.
  • Meet and gain insights from the Senior Leadership Team as well as other leaders and professionals in the organization.
  • Networking opportunities.
  • Hybrid work schedule to include working on-site in the office and working from home.
  • Participate in community outreach.
  • Opportunity to gain career advice and help prepare for navigating your career search.
  • Learn about careers within the insurance industry and their impact.
  • Potential full-time career opportunities after graduation.

About the Role

As a Risk Modeling Intern in the Hartford, CT office, you will work with HSB’s catastrophe and accumulation modeling team to assess how major events could affect insured equipment, businesses, and portfolios. You will support the design, development, and evaluation of simulation and stochastic models relevant to HSB’s specialty insurance products, including equipment breakdown and cyber coverage.

Key Responsibilities

  • Support the design, development, and evaluation of simulation and stochastic models.
  • Analyze exposure and loss data.
  • Test model assumptions.
  • Communicate results to technical and business stakeholders.

Requirements & Tech Stack

  • Python (preferred) or R
  • SQL
  • Git (version control)

Qualifications

  • MS or PhD student in Actuarial Science, Statistics, Mathematics, Physics, Electrical Engineering, Computer Science, or a related quantitative field.
  • Coursework or research in probability, stochastic processes, simulation, statistical modeling, or risk analysis is required.
  • Exceptional undergraduate students with substantial quantitative modeling experience will also be considered.
  • Strong foundation in probability, statistics, and mathematical modeling.
  • Experience designing and implementing simulations, including Monte Carlo methods.
  • Experience assessing model assumptions and uncertainty.
  • Ability to write clear, well-documented code.
  • Strong analytical and problem-solving skills.
  • Ability to communicate technical findings to both technical and business audiences.
  • Experience with data preparation, statistical analysis, model validation, and visualization.
  • Available to start the internship part-time in January 2027 and move to full-time in May 2027 with a hybrid work schedule in the Hartford, CT office.

Preferred Qualifications

  • Familiarity with actuarial or insurance concepts such as loss frequency and severity, dependence, aggregation, or portfolio risk.
  • Basic software development skills.
  • Knowledge of cybersecurity, cyber risk, power grid risk, equipment reliability, or related topics.
  • Actuarial credentials or substantial exam progress.

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