Hybrid Risk Modeling Intern: Build Catastrophe Models

Munich Reinsurance America, Inc

Hartford (CT)

Hybrid

USD 28,000 - 34,000

Part time

5 days ago
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Benefits offered by this job

Hybrid work schedule
Potential full-time opportunities
Networking with leadership

Job summary

Hartford Steam Boiler (HSB), a Munich Re company, invites applications for a Risk Modeling Intern. The program runs part-time beginning January 2027 and transitions to full-time over an 11-week summer period (May–August) at our Hartford, CT office.

You will help assess major events’ impact on insured equipment and portfolios using stochastic models and simulations. You will work with catastrophe and accumulation modeling teams, gain exposure to insurance risk concepts, and have potential

Qualifications

  • MS or PhD candidate in a quantitative field with coursework in probability and risk analysis.
  • Experience or coursework in simulation and stochastic modeling required.
  • Strong programming, data handling, and ability to communicate results to stakeholders.

Responsibilities

  • Support design, development, and evaluation of simulation and stochastic models for equipment breakdown, cyber, and related insurance products.
  • Analyze exposure and loss data, test model assumptions, and communicate results to technical and business audiences.
  • Collaborate with catastrophe and accumulation modeling teams in Hartford, CT, with a hybrid work schedule.

Skills

Probability and statistics
Monte Carlo simulations
Python
SQL
Data preparation
Model validation
Communication of technical results
Visualization
Cyber/insurance concepts familiarity

Education

MS or PhD in Actuarial Science
Statistics or Mathematics
Related quantitative fields

Tools

Python
R
Git

Job description

Hartford Steam Boiler (HSB), a Munich Re company, invites applications for a Risk Modeling Intern. The program runs part-time beginning January 2027 and transitions to full-time over an 11-week summer period (May–August) at our Hartford, CT office.

You will help assess major events’ impact on insured equipment and portfolios using stochastic models and simulations. You will work with catastrophe and accumulation modeling teams, gain exposure to insurance risk concepts, and have potential

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