Risk Modeling Intern

About the Role

• Part-time internship beginning January 2027, transitioning to a full-time schedule for 11 weeks during summer 2027 (May – August).
• Hybrid work schedule in the Hartford, CT office.

Key Responsibilities

• Work with HSB’s catastrophe and accumulation modeling team to assess how major events could affect insured equipment, businesses, and portfolios.
• Support the design, development, and evaluation of simulation and stochastic models relevant to HSB’s specialty insurance products, including equipment breakdown and cyber coverage.
• Analyze exposure and loss data.
• Test model assumptions.
• Communicate results to technical and business stakeholders.

Requirements & Tech Stack

• Strong foundation in probability, statistics, and mathematical modeling.
• Experience designing and implementing simulations, including Monte Carlo methods.
• Experience assessing model assumptions and uncertainty.
• Programming experience with Python (preferred) or R.
• Working knowledge of SQL.
• 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.
• Basic software development skills, including version control with Git, are a plus.
• Familiarity with actuarial or insurance concepts such as loss frequency and severity, dependence, aggregation, or portfolio risk is a plus.
• Knowledge of cybersecurity, cyber risk, power grid risk, equipment reliability, or related topics is preferred but not required.
• Actuarial credentials or substantial exam progress are preferred but not required.

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.
• Available to start the internship part-time in January 2027 and move to full-time in May 2027.