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Catastrophe Modeling Analyst II

  • Saint Louis, MO, United States

The target base salary range for this position is $88,000 to $113,500.

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Job details

Pay
The target base salary range for this position is $88,000 to $113,500.
Education
Bachelor’s degree
Posting language
English
Posted

Original job description

At Safety National, we don’t just offer jobs – we build careers with purpose! Since 9, we’ve been an industry leader, valuing integrity, teamwork, and stability while providing competitive rewards, top-tier benefits, career growth opportunities, and flexible work options that promote balance. With tuition reimbursement, wellness perks, and a strong community impact, we invest in your success, both personally and professionally. Ready to grow with us? Apply today!

Follow this link to view all of our available careers and apply:

https://www.safetynational.com/careers-page/

This opportunity is in the Actuarial department as part of the Enterprise Risk Management team. The Enterprise Risk Management team helps the organization identify, evaluate, monitor, and communicate material risks that could affect financial strength, operational resilience, and strategic objectives. The team applies catastrophe modeling, exposure management, scenario analysis, and risk reporting to develop an enterprise-wide view of risk. Working within Actuarial, the team partners with underwriting, reinsurance, claims, finance, and senior management to translate complex catastrophe and exposure information into actionable insights that support risk-informed decisions.

Role Description

As a Catastrophe Modeling Analyst II (internally known as Exposure Management Analyst II), you will support the organization’s catastrophe risk and enterprise risk management programs through exposure data analysis, catastrophe model execution, results validation, and risk reporting. Working with experienced catastrophe modeling and ERM professionals, you will evaluate natural and human-made catastrophe exposures, maintain modeling data and workflows, and produce analyses that inform underwriting, reinsurance, capital, risk appetite, and portfolio management decisions.

You will use a catastrophe modeling platform, analytical tools, and internal exposure data to assess data quality, validate model inputs and outputs, analyze catastrophe loss results, and communicate key risk drivers, concentrations, trends, and uncertainties to support enterprise risk management decisions. You will also contribute to enterprise risk assessments, stress and scenario analyses, regulatory and rating agency submissions, catastrophe reporting, model governance, and process improvement. This position offers an opportunity to deepen your expertise in catastrophe risk, exposure management, insurance and reinsurance analytics, and enterprise risk management while working with industry-leading models and emerging technologies.

Qualifications

Education

  • Bachelor’s degree in Computer Science, Data Science, Geography/GIS, Mathematics, Statistics, Engineering, Risk Management, or a related quantitative or technical field is required.

Required Qualifications

  • One or more years of experience in catastrophe modeling, exposure management, insurance or reinsurance analytics, enterprise risk management, or a related field.
  • Advanced Microsoft Excel skills, including the ability to work with complex formulas, large datasets, and macros.
  • Strong SQL skills, including the ability to read, modify, and validate custom queries used to process exposure and model-result data.
  • Ability to collaborate effectively with underwriting, reinsurance, claims, finance, technology, and risk management stakeholders.
  • Ability to analyze catastrophe exposure and loss results, identify material risk drivers and data-quality issues, and present clear insights to technical and non-technical audiences.
  • Experience preparing professional risk analyses and reports using Microsoft Word, PowerPoint, and related business software.
  • Experience with at least one catastrophe modeling platform, preferably Moody’s Risk Modeler, and familiarity with common catastrophe model inputs, outputs, and uncertainty considerations.
  • Must be presently authorized to work in the U.S. without a requirement for work authorization sponsorship by our company for this position now or in the future.
  • Qualified candidates residing outside the St. Louis metropolitan area are eligible to work remotely or in one of our regional offices. For candidates who reside in the St. Louis metropolitan area, if hired you will be required to work a hybrid work schedule which includes a minimum of 3 days per week in our St. Louis Corporate Office, located at 1832 Schuetz Rd, Saint Louis, MO. All employees are required to sign a Remote Work Agreement or follow our Work From Home policy, which will be provided to all candidates selected to interview.

Preferred Qualifications

  • Professional development or coursework toward catastrophe modeling, enterprise risk management, insurance, reinsurance, GIS, or data analytics designation.
  • Experience with Power BI, GIS tools, or other business intelligence and data-visualization platforms.
  • Experience using Snowflake, VBA, or another programming language to automate, validate, or analyze data and modeling workflows.
  • Knowledge of workers’ compensation and/or assumed reinsurance exposures in catastrophe models.
  • Familiarity with catastrophe model validation, event-loss tables, exceedance probability curves, average annual loss, tail-risk metrics, portfolio concentration analysis, and model-change analysis.
  • Familiarity with catastrophe modeling methodologies, practices, and emerging technologies.

Protect the confidentiality, integrity and availability of information and technology assets against unauthorized disclosure, destruction and/or alteration, in accordance with Safety National policies, standards, and procedures.

Safety National is a leading specialty insurance and reinsurance provider. Our culture is built upon relationships, which allow us to demonstrate our expertise gained through our rich 80-year history. As a wholly-owned subsidiary of Tokio Marine, Inc., we appreciate the benefits and support provided by our affiliation with one of the top 10 insurance companies in the world.

Total Rewards That Put Employees First

In our vision to be First with Co-Workers, compensation that includes base salary, holiday bonus, and incentive awards is only a small portion of the comprehensive total rewards package we offer. Our total rewards approach recognizes and rewards the time, talents, efforts, and results of our valued employees. Highlights of our exceptional benefits include generous health, dental, and vision coverage, health savings accounts, a 401(k)-retirement savings match and an annual profit sharing contribution. We proudly offer family forming benefits for adoption, fertility, and surrogacy, generous paid time off and paid holidays, paid parental and caregiver leave, a hybrid work environment, and company-paid life insurance and disability. To support employees in their career journeys, we provide professional growth and development opportunities in addition to employee recognition and well-being programs. Apply today to learn more.

Safety National is committed to fair, transparent pay and we strive to provide competitive, market-based compensation. In our vision to be First with Co-Workers, compensation is only one piece of the comprehensive total rewards package we offer. The target base salary range for this position is $88,000 to $113,500. Compensation for the successful candidate will consider the candidate’s particular combination of knowledge, skills, competencies, experience and geographic location.

More about this job

Skills

  • Risk management
  • Data analysis
  • Reporting
  • ERM
  • Underwriting
  • Inspect data
  • Process improvement
  • Computer science
  • GIS
  • Statistics
  • Microsoft Excel
  • SQL
  • Microsoft Word
  • Microsoft PowerPoint
  • Microsoft Power BI
  • Business intelligence
  • Data visualization
  • Snowflake
  • VBA
  • Confidentiality

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