'Our Company provides a state of predictability which allows brokers and agents to act with confidence." 

Founded in 1967, W. R. Berkley Corporation has grown from a small investment management firm into one of the largest commercial lines property and casualty insurers in the United States. 

Along the way, we’ve been listed on the New York Stock Exchange, become a Fortune 500 Company, joined the S&P 500, and seen our gross written premiums exceed $10 billion. 

Today the Berkley brand comprises more than 60+ businesses worldwide and is divided into two segments:  Insurance and Reinsurance and Monoline Excess.  Led by our Executive Chairman, founder and largest shareholder, William. R. Berkley and our President and Chief Executive Officer, W. Robert Berkley, Jr., W.R. Berkley Corporation is well-positioned to respond to opportunities for future growth. 

The Company is an equal employment opportunity employer.   

Enterprise Risk Management (ERM) Team
Our key risk management aim is to maximize Berkley’s return on capital over the long term for an acceptable level of risk. This requires regular interaction with senior management both in corporate and our business units. The ERM team comprises ERM actuaries and catastrophe modelers responsible for identification, quantification and reporting on insurance, investment, credit and operational risks. The ERM team is a corporate function at Berkley’s headquarters in Greenwich, CT.

The Role
The successful candidate will work on high-impact projects with a focus on casualty accumulation, risk assessment and group reporting. This role is an excellent fit for someone who is energized by analytical depth, eager to understand how insurance products drive risk and capital, and motivated to improve and automate existing processes using data and AI‑enabled tools. Candidates who thrive in this role enjoy learning, collaborating, and taking initiative as our ERM function continues to evolve.

Key responsibilities include:

Casualty Accumulation
• Assist with the design and automation of the casualty data ETL process to improve accuracy and scalability
• Analyze and visualize casualty accumulations by insureds, lines and industries to generate actionable insight for business leaders

Emerging Risk Monitoring
• Assist with assessment of exposure to cyber insurance risk and climate change
• Assist with research of artificial intelligence and other emerging risks and evaluate their potential implications on property and casualty lines
• Assist with the development of casualty event scenarios to help senior management understand the financial impact of extreme events

Risk Assessment and Group Reporting
• Support the implementation and continuous improvement of risk assessment processes across domestic and international business units
• Contribute to Group-level ERM reports
• Support international business units in their ERM reporting

Group Capital Assessment
• Perform capital and solvency projections, including stress tests
• Assist with the Group’s capital allocation process

Business & Strategic Thinking
• Minimum of 2 years of experience in P&C (re)insurance, preferably in actuarial, risk or related analytical roles
• Strong critical thinking and problem solving skills; able to evaluate different options, challenge assumptions and connect analytical results to meaningful business implications

Communication & Collaboration
• Strong verbal and written communication skills
• Collaborative work style and a willingness to partner closely with colleagues across disciplines and geographies

Growth Orientation
• Proven ability to manage multiple priorities and meet deadlines in a dynamic environment
• Self motivated, diligent and comfortable with hands on work, including detailed data and process tasks, while also stepping back to see the bigger picture

Technical Fluency and Automation Mindset
• Proficiency in Excel; experience with data visualization tools is a plus
• Working knowledge of programming concepts, including functions and loops
• Ability to work with large datasets and produce reliable, well structured analysis
• Interest in using technology, including AI enabled tools, to streamline and automate recurring processes
• Bachelor’s degree or higher