Senior Portfolio Engineer, Underwriting Insights

Swiss Re

Zürich

Hybrid

CHF 130,000 - 194,000

Full time

2 days ago
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Benefits offered by this job

Hybrid work model

Job summary

Swiss Re is seeking an Underwriting Portfolio Engineer in Zurich to use advanced data and engineering to improve underwriting portfolio decisions and enable effective portfolio steering. You will build data products, analytics, and Palantir workflows, collaborating with portfolio managers and leaders across the lifecycle from problem framing to deployment.

The role requires hands-on data product development, strong data modelling/analysis skills, and experience translating complex questions into

Qualifications

  • Hands-on data product development in Palantir Foundry or similar platform.
  • Strong data modelling, transformation, and analysis skills with Python/SQL.
  • Experience delivering end-to-end analytics from problem definition to deployment.

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
Data modelling
Data transformation
Data integration
Data analysis
Python
SQL
Stakeholder communication
Problem solving

Job description

Swiss Re is seeking an Underwriting Portfolio Engineer in Zurich to use advanced data and engineering to improve underwriting portfolio decisions and enable effective portfolio steering. You will build data products, analytics, and Palantir workflows, collaborating with portfolio managers and leaders across the lifecycle from problem framing to deployment.

The role requires hands-on data product development, strong data modelling/analysis skills, and experience translating complex questions into

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