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About the Role

Lead delivery of data products, analytical capabilities, and Palantir workflows to enhance underwriting decisions, identify risks and opportunities faster, and strengthen portfolio steering. This is a hands-on technical and analytical leadership role, working directly with underwriting and portfolio teams to translate business questions into practical data solutions. You will own delivery from business question to analysis, build, implementation, adoption, and measured impact.

Responsibilities

Build underwriting-specific data products, Palantir workflows, and analytical tools for portfolio planning, capacity setting, and steering.
Turn material portfolio questions into reusable analytics and decision-support capabilities.
Analyze performance, exposures, concentrations, dependencies, and portfolio dynamics to support decisions.
Own solutions end-to-end, from analysis and build through adoption, refinement, and impact.
Maintain engineering standards, controls, documentation, and governance for robust, scalable tools.
Lead mixed engineering, data, and portfolio teams, strengthening capability and team effectiveness.

Requirements

Hands-on experience building, deploying, and maintaining data products, analytical workflows, and decision-support solutions in Palantir Foundry.
Strong skills in data modeling, transformation, integration, and production-grade development using Python, SQL, or equivalent tools.
Ability to analyze performance, exposures, diversification, sensitivities, and risk-adjusted returns, and translate findings into portfolio decisions.
Proven delivery from problem definition through design, build, testing, deployment, adoption, and impact measurement.
Strong understanding of underwriting economics, portfolio management, risk, capital, and capacity in reinsurance or commercial insurance.
Ability to explain complex issues clearly and influence senior stakeholders across underwriting, portfolio management, Data, and IT.

Skills

Palantir Foundry
Data modeling
Data transformation
Data integration
Python
SQL
Underwriting economics
Portfolio management
Risk management
Capital management
Reinsurance
Commercial insurance

Location

London
Europe
North America

Work Type

Hybrid
Full-time

Experience Level

Director
Senior technical and analytical leader

Salary/Compensations

GBP 180,000 - GBP 270,000 (London)

About the Company

Swiss Re is one of the world's leading providers of reinsurance, insurance, and other forms of insurance-based risk transfer, working to make the world more resilient.
We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime.
Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients.
This is possible thanks to the collaboration of more than 15,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking.
We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics.
In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
We encourage experienced professionals returning to the workforce after a career break to apply for open positions that match their skills and experience.
We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people.

Equal Opportunity

We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics.