AVP/VP, Underwriting Analytics

About the role

The Underwriting Analytics team at Guy Carpenter develops analytical solutions that support underwriting strategy, portfolio insights, risk segmentation, and decision support across the business. This role is a hybrid, requiring at least three days a week in the office.

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.
• 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.

Requirements

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Actuarial Science, Engineering, or another quantitative discipline.
• 3–6 years of relevant experience in data science, advanced analytics, or quantitative modeling.
• Prior insurance industry experience at a carrier, reinsurer, broker, or data/analytics vendor.
• Demonstrated experience working with insurance datasets and business problems.
• Strong programming skills in Python and SQL; familiarity with R is a plus.
• Experience building and validating predictive or diagnostic models using statistical and machine learning techniques.
• Strong grounding in probability, statistics, model evaluation, and analytical problem-solving.
• Able to communicate technical concepts effectively to underwriting and business stakeholders.
• Strong attention to detail, sound judgment, and the ability to manage multiple priorities.

Qualifications

• Experience specifically in underwriting analytics, portfolio analytics, or insurance performance analytics.
• Familiarity with commercial insurance and/or reinsurance concepts, underwriting workflows, and portfolio management practices.
• Experience with methods such as GLMs, tree-based models, clustering, regularization, time series analysis, and anomaly detection.
• Experience with exposure, policy, claims, pricing, or submission data in a P&C or specialty insurance context.
• Familiarity with cloud-based analytics environments, model deployment practices, and modern data tooling.
• Exposure to geospatial, catastrophe, or alternative risk datasets is a plus.

Skills

• Experience with Python and SQL.
• Familiarity with R.
• Experience with GLMs, tree-based models, clustering, regularization, time series analysis, and anomaly detection.
• Experience with exposure, policy, claims, pricing, or submission data in a P&C or specialty insurance context.
• Familiarity with cloud-based analytics environments, model deployment practices, and modern data tooling.
• Exposure to geospatial, catastrophe, or alternative risk datasets.

Benefits

At Guy Carpenter, we offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Decisions will be determined on a case-by-case basis.

Pay

The applicable base salary range for this role is $105,000 to $192,500. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis.

Schedule

This role is a hybrid, requiring at least three days a week in the office. The applicable base salary range for this role is $105,000 to $192,500. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis.