VP, Underwriting Analytics & Strategy

Guy Carpenter; Edina (MN); Hybrid; USD 105,000 - 193,000; Full time

Benefits offered by this job

Health benefits

Tuition assistance

401(k)

Job summary

Guy Carpenter seeks an analytics-driven professional for its Underwriting Analytics team. The role blends data science with underwriting strategy, delivering scalable insights and tools across the business. Hybrid work requires in-office presence at least three days weekly.

The team builds models and data products for risk segmentation, portfolio monitoring, and underwriting optimization, partnering with underwriting, broking, actuarial, and portfolio teams.

Responsibilities

• Develop and enhance analytical models, decision tools, and data products that support underwriting and portfolio management objectives.
• Apply statistical, machine learning, and data mining techniques to large internal and external datasets to identify patterns, performance drivers, and emerging risk insights.
• Partner with underwriting, broking, actuarial, catastrophe modeling, and portfolio management teams to translate business questions into scalable analytical solutions.
• Build models and analytical frameworks for use cases such as risk segmentation, portfolio monitoring, performance attribution, propensity analysis, anomaly detection, and underwriting optimization.
• Design and execute exploratory data analysis to assess portfolio characteristics, underwriting outcomes, loss experience, and market trends.
• Engineer features from structured and semi-structured insurance datasets, including exposure, submission, pricing, claims, and third-party data sources.
• Support productionization of analytical workflows by contributing to model validation, documentation, version control, testing, and monitoring.
• Create clear and compelling visualizations, summaries, and presentations that communicate technical findings to both technical and non-technical stakeholders.
• Contribute to the continuous improvement of underwriting analytics capabilities, data pipelines, and modeling standards across the team.
• Stay current on emerging methods in machine learning, optimization, and applied analytics relevant to underwriting and reinsurance decision-making.

Job description

Guy Carpenter seeks an analytics-driven professional for its Underwriting Analytics team. The role blends data science with underwriting strategy, delivering scalable insights and tools across the business. Hybrid work requires in-office presence at least three days weekly.

The team builds models and data products for risk segmentation, portfolio monitoring, and underwriting optimization, partnering with underwriting, broking, actuarial, and portfolio teams.