Senior Exposure Management Analyst

Senior Exposure Management Analyst AUM or an equivalent background is searching for a motivated and technically adept Senior Exposure Management Analyst to help deliver exposure management services spanning multiple portfolios. This role merges catastrophe modelling skills, portfolio analysis, client engagement, data oversight, and process advancement to enable underwriters to make knowledgeable risk and capacity decisions.

The successful candidate will play a key role in portfolio monitoring, risk assessment, catastrophe modelling, and management information production, whilst supporting pivotal initiatives passionate about automation, data quality, and operational efficiency. This role offers significant exposure to underwriting teams, portfolio managers, brokers, carriers, and senior partners across the business. Aon is in the business of better decisions At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.

As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed. What the day will look like Interpret catastrophe model outputs and marginal impact assessments for pre-bind risks.

• Monitor accumulations against utilisation and capacity.
• Support portfolio steering through reporting and monitoring.
• Produce monthly variance reports which review geocoding, exposure attributes and assumptions and impact on results. Assess and explain impacts from vendor model updates. Test and validate new modelling methods and analytics.
• Deliver detailed event response analysis to internal collaborators and externally to carriers to identify impacted accounts and loss potential. Validate exposure data from carriers, underwriters and brokers.
• Maintain and improve exposure data standards. Investigate and resolve data anomalies.
• Produce portfolio reports and MI packs. Develop decision-support dashboards and analytics. Present findings to underwriters, portfolio managers, and senior collaborators.
• Deliver ad hoc analysis for central initiatives.
• Provide insights that improve underwriting and portfolio performance. Refine workflows and operational performance. Gather requirements and test and implement new systems and workflows. Embed standard procedures and support continuous improvement projects.

that will lead to success Experience in exposure management, catastrophe modelling, portfolio analytics, or a similar insurance-related field. Strong understanding of natural catastrophe risk and reinsurance structures. Experience using Touchstone or comparable modelling platforms. Advanced analytical, problem-solving, and Excel skills, with experience handling large datasets. Strong communication and collaborator management skills, with the ability to present technical findings clearly. Excellent organisational skills, attention to detail, and the ability to prioritise various tasks.

Experience with SQL, Python, Databricks, cloud-based data solutions, or Power BI. Knowledge of portfolio monitoring, aggregate management, delegated authority, and facultative portfolios. Degree or equivalent experience in a quantitative, technical, or related field. Professional qualifications in catastrophe modelling or insurance are advantageous. #LI-SG1 2026-110387 Senior Exposure Management Analyst AUM or an equivalent background is searching for a motivated and technically adept Senior Exposure Management Analyst to help deliver exposure management services spanning multiple portfolios.

This role merges catastrophe modelling skills, portfolio analysis, client engagement, data oversight, and process advancement to enable underwriters to make knowledgeable risk and capacity decisions. The successful candidate will play a key role in portfolio monitoring, risk assessment, catastrophe modelling, and management information production, whilst supporting pivotal initiatives passionate about automation, data quality, and operational efficiency. This role offers significant exposure to underwriting teams, portfolio managers, brokers, carriers, and senior partners across the business.

Aon is in the business of better decisions At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed. What the day will look like Interpret catastrophe model outputs and marginal impact assessments for pre-bind risks.

Monitor accumulations against utilisation and capacity.

Support portfolio steering through reporting and monitoring.

Produce monthly variance reports which review geocoding, exposure attributes and assumptions and impact on results. Assess and explain impacts from vendor model updates. Test and validate new modelling methods and analytics.

Deliver detailed event response analysis to internal collaborators and externally to carriers to identify impacted accounts and loss potential. Validate exposure data from carriers, underwriters and brokers.

Maintain and improve exposure data standards. Investigate and resolve data anomalies.

Produce portfolio reports and MI packs. Develop decision-support dashboards and analytics. Present findings to underwriters, portfolio managers, and senior collaborators.

Deliver ad hoc analysis for central initiatives.

Provide insights that improve underwriting and portfolio performance. Refine workflows and operational performance. Gather requirements and test and implement new systems and workflows. Embed standard procedures and support continuous improvement projects.

that will lead to success Experience in exposure management, catastrophe modelling, portfolio analytics, or a similar insurance-related field. Strong understanding of natural catastrophe risk and reinsurance structures. Experience using Touchstone or comparable modelling platforms. Advanced analytical, problem-solving, and Excel skills, with experience handling large datasets. Strong communication and collaborator management skills, with the ability to present technical findings clearly. Excellent organisational skills, attention to detail, and the ability to prioritise various tasks.

Experience with SQL, Python, Databricks, cloud-based data solutions, or Power BI. Knowledge of portfolio monitoring, aggregate management, delegated authority, and facultative portfolios. Degree or equivalent experience in a quantitative, technical, or related field. Professional qualifications in catastrophe modelling or insurance are advantageous. #LI-SG1

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