**The Role:**

The successful candidate will collaborate with other ERM team members on a variety of projects with a focus on casualty accumulation, catastrophe modeling, cyber insurance, and emerging risks. The candidate is expected to demonstrate expertise in handling both quantitative and qualitative information. The candidate will participate in discussions with leaders from business units as well as senior executives from other corporate functions.

Actuarial exam support will be provided for candidates who wish to pursue an actuarial designation.

**Casualty Accumulation**
- Support the development of the casualty data ETL process.
- Analyze and visualize casualty accumulations by insureds, lines, and industries to deliver valuable insight to business leaders.
- Help create casualty catastrophe scenarios by studying historical events and emerging risks.
- Model complex casualty reinsurance protections.

**Cyber, Climate Change and Other Emerging Risks**
- Assist with monitoring of cyber insurance exposures and modeling of cyber catastrophe events.
- Perform research on emerging risks, including climate change, and quantify their impact on property and casualty lines, invested assets as well as general business operations.

**Other Risk Assessment and Reporting**
- Measure and monitor property and workers compensation risk aggregation.
- Aid in ERM reporting routines, including deliverable to senior management as well as rating agencies and regulators.
- Assist with automation and management of key risk processes and projects.
- Support the implementation and maintenance of the risk assessment processes across the domestic and international business units.

**Qualifications**

*Required:*
- Ambition for building a career in P&C (re)insurance.
- Proficiency in R/Python and Excel.
- Excellence in verbal and written communication.
- Ability to stay organized and multi-task.
- Ability to independently perform research on a wide variety of risk topics.
- Knowledge of casualty lines of business (e.g., general liability; professional lines).
- 3 - 10 years of relevant experience.

*Preferred:*
- Knowledge of data engineering.
- ACAS