AVP/Director, ERM Actuary

BerkleyGreenwich, CT
Onsite

About The Position

The Enterprise Risk Management (ERM) Team's 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 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.

Requirements

  • Minimum of 5 years of experience in casualty or professional liability (re)insurance
  • Strong critical thinking and problem solving skills; able to evaluate different options, challenge assumptions and translate analytical results into business implications
  • 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
  • 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
  • Proficiency in Excel
  • 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

Nice To Haves

  • ACAS/FCAS is a plus
  • experience with data visualization tools is a plus

Responsibilities

  • 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
  • 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
  • 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
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