Underwriting Portfolio Engineer | Data-Driven Strategy

Swiss Re; Kansas City (MO); Hybrid; USD 156,000 - 234,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Swiss Re is recruiting an Underwriting Portfolio Engineer to enhance portfolio decisions using data and engineering in a hybrid work setting. You will collaborate with underwriting portfolio managers to frame business questions, explore data, and deliver production-ready solutions across the full lifecycle.

The role emphasizes hands-on delivery, cross-functional collaboration and measurable impact on decision quality and speed.

Qualifications

• Hands-on experience developing data products, analytical workflows or decision-support solutions in Palantir Foundry or a comparable platform.

Responsibilities

• Build underwriting-specific data products, analytical tools and Palantir workflows that support portfolio planning, capacity setting and steering.
• Translate material underwriting portfolio questions into practical analytics and reusable decision-support capabilities.
• Analyse performance, exposures, concentrations, dependencies and portfolio dynamics to inform portfolio decisions.
• Develop, test, deploy and maintain robust solutions using reliable, decision-ready data from multiple sources.
• Work with users through delivery and adoption, measuring whether solutions improve the quality, speed or consistency of decisions.
• Contribute to common engineering practices, reusable components, documentation and analytical standards across the team.

Skills

Palantir Foundry usage

Python

SQL

Data modelling

Analytical thinking

Tools

Palantir Foundry

Job description

Swiss Re is recruiting an Underwriting Portfolio Engineer to enhance portfolio decisions using data and engineering in a hybrid work setting. You will collaborate with underwriting portfolio managers to frame business questions, explore data, and deliver production-ready solutions across the full lifecycle.

The role emphasizes hands-on delivery, cross-functional collaboration and measurable impact on decision quality and speed.