Catastrophe Modeller at Gallagher | GB | Rezi

Catastrophe Modeller at Gallagher

Catastrophe Modeller

Gallagher · GB

4 days ago

Catastrophe Modeller

Gallagher · GB

4 days ago
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About the Role

Gallagher is seeking an individual to play a key role in growing the Exposure Analytics and Catastrophe Modeling function within Gallagher Specialty. This role involves delivering exposure & cat modeling for various business units, with a focus on Energy, Power, and Industrial risk. You will help create new business opportunities through client and carrier analytics expansion, maintain data warehouses, and ensure data accuracy and adherence to standard operating procedures. You will also contribute to the exposure management strategy and develop new initiatives.

Responsibilities

  • Deliver exposure & cat modeling for various business units, focusing on Energy, Power, and Industrial risk.
  • Create new opportunities for the business through the expansion of client and carrier analytics.
  • Maintain data warehouses and other systems holding exposure, premium & claims information.
  • Perform quality control checks on all policies entered into the Exposure Management systems.
  • Rectify errors found and provide appropriate remedial training.
  • Ensure adherence to standard operating procedures and minimum data quality standards.
  • Meet internal and external KPIs and SLAs.
  • Shape and actively contribute to the exposure management strategy of Gallagher Specialty.
  • Develop new initiatives in this area of the business.

Requirements

  • Previous exposure management/cat modeling experience gained at either an insurer or broking house.
  • Experience with Natural Resources data capture and analysis (Onshore Energy, Power and Utilities, Renewables, Offshore Marine & Energy).
  • Knowledge of LMP slips & the Lloyds and London Insurance Market.
  • Experience using Catastrophe Models, in particular RMS Risklink / Risk Modeler.
  • Experience using the RMS and/or AIR Industrial Facilities Models.
  • Technical understanding of data enrichment, manipulation and data cleansing best practices.
  • Ability to work quickly and precisely with large data sets.
  • A keen interest in data and Natural Catastrophes.
  • Self-motivated.
  • Good communication and presentation skills.
  • Proactive in finding solutions to problems without waiting to be prompted.
  • Good MS Office skills, particularly Microsoft Excel and ideally Power BI.
  • Knowledge of GIS software.
  • SQL, Python or R programming knowledge is desirable but not essential.
  • Eligible to work in the UK.

Skills

  • Exposure Management
  • Cat Modeling
  • Natural Resources Data Capture and Analysis
  • Lloyds and London Insurance Market Knowledge
  • RMS Risklink / Risk Modeler
  • RMS and/or AIR Industrial Facilities Models
  • Data Enrichment
  • Data Manipulation
  • Data Cleansing
  • MS Excel
  • Power BI
  • GIS Software
  • SQL
  • Python
  • R

Location

  • UK

Work Type

  • Full-time

Experience Level

  • Previous exposure management/cat modeling experience

Salary/Compensations

  • Competitive compensation

Benefits

  • Comprehensive benefits programs designed to support your well-being
  • Career development opportunities and ongoing learning
  • A collaborative, people-first culture with accessible leadership
  • The opportunity to do meaningful work with global reach and local impact

About the Company

  • Gallagher helps clients face risk with confidence, believing that when businesses are protected, they’re free to grow, lead, and innovate.
  • The company offers a digital ecosystem of client-centric consulting tools, advanced data, and analytics.
  • Gallagher fosters a culture grounded in teamwork, integrity, and a shared commitment to doing the right thing.
  • They value curiosity, celebrate new ideas, and empower employees to take ownership of their careers.

Equal Opportunity

  • Gallagher is an affirmative action/equal opportunity employer (Minorities/Females/Veterans/Disabled).
  • They are dedicated to building an inclusive and authentic workplace.
  • They encourage applications from individuals whose past experience doesn’t align perfectly.
  • They offer reasonable adjustments to the recruitment process if required.