VP, Underwriting Analytics — Hybrid

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

Job summary

Marsh is seeking a talented analyst to join the Underwriting Analytics team. This hybrid role requires three days in the office weekly and offers opportunities to develop models, data products, and insights across underwriting, portfolio management and risk strategy.

You will apply ML and statistical methods to large datasets, partnering with underwriting, broking, actuarial, and catastrophe modeling teams to deliver scalable solutions and clear visualizations for stakeholders.

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Actuarial Science, Engineering, or another quantitative discipline.

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.

Skills

Python

SQL

R

Education

Bachelor's degree (quantitative)

Job description

Marsh is seeking a talented analyst to join the Underwriting Analytics team. This hybrid role requires three days in the office weekly and offers opportunities to develop models, data products, and insights across underwriting, portfolio management and risk strategy.

You will apply ML and statistical methods to large datasets, partnering with underwriting, broking, actuarial, and catastrophe modeling teams to deliver scalable solutions and clear visualizations for stakeholders.