Please provide a one-page resume when applying.

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 lead high-impact projects with a focus on casualty and professional liability accumulation, risk assessment, group reporting and emerging risk insights. This role blends hands‑on analytical execution with strategic responsibility and offers significant visibility to senior executives. It is well suited for someone who is energized by analytical depth, grounded in sound business judgment, and motivated to enhance ERM processes through disciplined structure and thoughtful automation. Candidates who thrive in this role combine curiosity with rigor, collaborate effectively across business units and demonstrate the maturity to lead complex projects from initial problem framing to executive communication.

Key responsibilities include:

Casualty and Professional Liability Accumulation

Lead the group-wide casualty accumulation analytics initiative, owning the end-to-end process from data pipeline design and ETL automation to clear visualizations of analytical results that support executive decision-making
Maintain active feedback loops with business leaders to ensure data are correctly interpreted, assumptions are challenged, and insights reflect true exposure patterns
Collaborate with data engineers to resolve complex data challenges and implement scalable solutions
Model complex reinsurance protections Risk Assessment and Group Reporting
Lead the implementation and continuous improvement of risk assessment processes across domestic and international business units
Analyze and present risk assessment outcomes to senior executives, translating signals into decision-ready insights
Draft Group-level ERM reports and review ERM reports for the international entities, ensuring clarity, coherence, and alignment with Group standards
Support other key deliverables to senior executives, rating agencies and regulators Emerging Risk Research and Monitoring
Evaluate exposure to cyber insurance risks and assess impacts from potential systemic events
Perform research on climate change, artificial intelligence and other emerging risks and evaluate their impact on property and casualty lines, invested assets and general business operations
Author ERM newsletters to communicate insights and trends on emerging risks to business units
Support the development of casualty event scenarios, drawing on historical events and emerging trends to quantify tail-event exposures Qualifications Business & Strategic Thinking
Minimum of 5 years of experience in casualty or professional liability (re)insurance;

ACAS/FCAS

is a plus

Strong critical thinking and problem solving skills; able to evaluate different options, challenge assumptions and translate analytical results into business implications Communication & Collaboration
Strong verbal and written communication skills, with the ability to lead executive-level discussions
Collaborative work style and a willingness to partner closely with colleagues across disciplines and geographies Leadership
Proven ability to manage complex projects and meet deadlines in a dynamic, lean team environment
Professional maturity in navigating ambiguity and adjusting to evolving business needs while maintaining structure and analytical rigor
Owning deliverables from scoping through execution, ensuring completeness, accuracy and business relevance; comfortable engaging directly with data, analytical workflows and model outputs Technical Fluency and Automation Mindset
Proficiency in Excel; experience with data visualization tools is a plus
Working knowledge of programming concepts, including experience with troubleshooting or enhancing ETL workflows
Interest in using technology, including AI enabled tools, to streamline and automate recurring processes
Bachelor's degree or higher

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