Risk Modeling Intern

Location: Hartford, CT, US

Risk Modeling Intern

Location

Hartford, CT, US

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Job Type

Full-Time

Work Mode

Hybrid

Job Level

Internship & Working Student

Job ID

14388

Company

HSB

Employment Type

Temporary

Area of Expertise

Actuarial & Risk Management

Description

HSB Currently has a Risk Modeling Intern opening for 2027. We are currently recruiting a part-time intern to begin in January 2027, and continue with a full-time schedule for 11 weeks during the summer period (May – August).

Empower yourself!  Start building your career with a national industry leader!

Why intern at HSB? At Hartford Steam Boiler (HSB), a Munich Re company, you will learn what it is like to pursue a career at one of the world’s largest reinsurance companies.

Program Highlights

Gain hands on experience.

Meet and gain insights from the Senior Leadership Team as well as other leaders and professionals in the organization to develop lasting professional relationships.

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 you prepare for navigating your career search.

Learn about great careers within the insurance industry and the impact they make.

Potential full-time career opportunities after graduation.

As a valued Risk Modeling Intern in our Hartford, CT office, you will work with HSB’s catastrophe and accumulation modeling team to help 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 but not limited to equipment breakdown and cyber coverage. Your work may involve analyzing exposure and loss data, testing model assumptions, and communicating results to technical and business stakeholders.

Desired Major(s) and Level of Education

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.

Skills

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.

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.

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.

At The Hartford Steam Boiler, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.

We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

We are an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.  The work environment characteristics, and any physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee.  Other duties, responsibilities and activities may change or be assigned at any time with or without notice.