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Everest · 2 months ago

Catastrophe Exposure Manager

New York, NY

Full-time

Onsite

Senior Level

$134K/yr - $185K/yr

5+ years exp

Everest Global Services, Inc. is a leader in risk management with over 50 years of experience. They are seeking a Catastrophe Exposure Manager to leverage advanced statistical modeling and analysis to drive decision-making and enhance catastrophe risk management.

FinanceFinancial ServicesInsurance

Responsibilities

Lead the charge in developing innovative catastrophe portfolio management solutions: Apply advanced statistical and analytical skills to create impactful actionable insights that optimize our risk profile and maximize risk-adjusted returns

Uncover groundbreaking insights: Research, develop, and present innovative perspectives on our portfolio, transcending traditional methods to identify new opportunities and mitigate emerging risks

Revolutionize our data analytics capabilities: Enhance our data capture, risk analysis, and automation tools, extracting actionable insights to inform critical business decisions

Master complex datasets: Work independently with extensive datasets, ensuring data quality, resolving anomalies, and proactively addressing data quality issues to maintain the highest level of analytical accuracy

Develop impactful visualization tools: Design customized risk metrics, data visualizations, and mapping tools that empower underwriting leaders with actionable insights

Communicate with impact: Translate complex analytical findings into clear, concise narratives that resonate with both technical and non-technical stakeholders

Qualification

Catastrophe ManagementStatistical ModelingSQL ProgrammingPythonVerisk TouchstoneData VisualizationCommunication SkillsProblem SolvingTeam Collaboration

Required

5-10 years of Commercial Property Catastrophe and Exposure Management experience; exposure management in terrorism and cyber a plus

Working knowledge of the Verisk Touchstone catastrophe modeling software

Demonstrable rock-solid programming experience. Must be able to write SQL fluently

A history of using Python, C#, or other languages to automate data flow and workflow processes across multiple enterprise products

Excellent oral and written communication skills with experience explaining complex technical and analytical concepts to business colleagues and senior management

Excellent problem solver: apply logic and reasoning to identify pros/cons of possible solutions, think through all angles and future implications when making decisions

A business-oriented focus (motivated, self-directed, organized, and analytical), with the ability to interpret complex data and translate findings into actionable insights

Ability to work well in a team environment as well as independently