Catastrophe Analyst

Responsibilities

• Work directly with underwriters to gather and prepare quarterly portfolio rolls up for catastrophe modeling.
• Assess the data quality to ensure the data used in the analysis is fit for purpose.
• Analyze changes in exposure and the associated impact of catastrophe model results.
• Discuss reasonableness of loss distribution results with underwriting team and senior management.
• Perform loss and accumulation analyses using vendor catastrophe modeling software, extract and transform outputs to calculate risk exposure and losses for reporting.
• Analyze how the distribution of results and relevant risk measures changes the application of various proposed reinsurance alternatives.
• Use vendor catastrophe modeling software to provide price indications for reinsurance alternative structures.
• Collaborate with junior team members in basic aspects of property (re)insurance and especially catastrophe modeling, including how to prepare data and interpreting insurance terms to catastrophe model.
• Incorporate data into spatial visualization tools to assist in monitoring aggregations and profitability analytics suited to company underwriting objectives and corporate portfolio objectives.
• Aid senior team members in preparing and formatting summaries, presentations, and reports into clear, concise deliverables of potential risk and loss results.
• Willingness to consciously strengthen relationships with internal and external partners.
• Participate in integration and coordination of how internal tools are developed and delivered.
• Perform ad hoc analytics for new business, catastrophe event response, rating agency and regulatory disclosures, data augmentation, and data quality scoring.

Qualifications

• Minimum of 3 years of experience working with commercial catastrophe model Verisk.
• Familiarity with Moody’s RMS, or KatRisk, a plus.
• Bachelor’s degree in mathematics, economics, engineering, and/or related natural science.
• Experience with Microsoft SQL, additional programming knowledge beneficial (e.g., Python or R) or experience working with Alteryx.
• Some knowledge of data warehousing (e.g., Snowflake).
• Geospatial analytical experience (i.e., GIS software) is beneficial.
• Proficient in using Microsoft technology (e.g., Office 365 apps).
• Fundamental knowledge in (re)insurance industry.