Risk Modeling Intern

Munich Re•Hartford, CT

5d•Hybrid

About The Position

HSB is seeking a Risk Modeling Intern for 2027. This is a part-time internship starting in January 2027, transitioning to a full-time schedule for 11 weeks during the summer (May – August). The internship offers hands-on experience at a leading global reinsurance company, opportunities to connect with senior leadership and professionals, networking, community outreach participation, career advice, and insights into the insurance industry. There is potential for full-time career opportunities after graduation. The intern will work with HSB’s catastrophe and accumulation modeling team in Hartford, CT, assessing the impact of major events on insured equipment, businesses, and portfolios. Responsibilities include supporting the design, development, and evaluation of simulation and stochastic models for specialty insurance products like equipment breakdown and cyber coverage. This involves analyzing exposure and loss data, testing model assumptions, and communicating findings to stakeholders.

Requirements

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.
Strong foundation in probability, statistics, and mathematical modeling.
Experience designing and implementing simulations, including Monte Carlo methods, and assessing model assumptions and uncertainty.
Programming experience with Python (preferred) or R and working knowledge of SQL, with the 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.

Nice To Haves

Exceptional undergraduate students with substantial quantitative modeling experience will also be considered.
Familiarity with actuarial or insurance concepts such as loss frequency and severity, dependence, aggregation, or portfolio risk is a plus.
Basic software development skills, including version control with Git, are 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.

Responsibilities

Support the design, development, and evaluation of simulation and stochastic models relevant to HSB’s specialty insurance products.
Analyze exposure and loss data.
Test model assumptions.
Communicate results to technical and business stakeholders.
Assess how major events could affect insured equipment, businesses, and portfolios.