Manager, Underwriting Portfolio Engineering

About the Role

As an Underwriting Portfolio Engineer in the integrated Portfolio Strategy & Steering team, you will use advanced data, engineering and analytical techniques to improve underwriting portfolio decisions, identify risks and opportunities, and enable effective portfolio steering.

You will work directly with underwriting portfolio managers and leaders to frame material business questions, analyse complex portfolio data, and build practical solutions in Palantir and other relevant platforms.

This is a hands-on delivery role across the full lifecycle: defining the problem, exploring data, building and deploying solutions, supporting adoption and measuring impact.

Key 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.

About the Team

The Portfolio Strategy & Steering team brings together underwriting portfolio management, engineering, data and advanced analytical capabilities.

The team operates as one integrated group with team members holding distinct but complementary accountabilities and jointly responsible for priorities, quality and impact.

About You

You combine strong data and engineering capability with an interest in underwriting, commercial decision-making and portfolio management. You focus on solving business problems, not just technical problems.

You are comfortable working with complex datasets, developing analytical workflows and engaging with business stakeholders to understand the decisions your work supports.

You can move between exploratory analysis and production-quality delivery, challenge assumptions, investigate ambiguity and remain accountable for whether your solutions are used and create value.

We are looking for candidates who bring:

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

• strong capability in data modelling, transformation, integration and analysis, using technologies such as Python, SQL or equivalent tools.

• experience taking solutions from problem definition through development, testing, deployment and continuous improvement.

• ability to translate complex or ambiguous business questions into practical analytical approaches and clear outputs.

• ability to explain technical findings clearly and work effectively with underwriting, portfolio-management and other business stakeholders.

Our company operates under a hybrid work model, with the expectation that employees work from the office three days per week every week. Please note that this role is not eligible for visa sponsorship/visa transfers/visa extension or relocation support.

The estimated base salary range for this position for Armonk, NY is between $164,000 to $246,000 and for Alpharetta, GA; Chicago, IL; Fort Wayne, IN and Kansas City, MO, the range is between: $156,000 to $234,000. The specific salary offered for this, or any given role will take into account a number of factors including but not limited to job location, scope of role, qualifications, complexity/specialization/scarcity of talent, experience, education, and employer budget. At Swiss Re, we take a "total compensation approach" when making compensation decisions. This means that we consider all components of compensation in their totality (such as base pay, short-and long-term incentives, and benefits offered), in setting individual compensation.

About Swiss Re

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. We cover both Property & Casualty and Life & Health. 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.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

Swiss Re is an equal opportunity employer. It is our practice to recruit, hire and promote without regard to race, religion, color, national origin, sex, disability, age, pregnancy, sexual orientations, marital status, military status, or any other characteristic protected by law. Decisions on employment are solely based on an individual's qualifications for the position being filled.

During the recruitment process, reasonable accommodations for disabilities are available upon request. If contacted for an interview, please inform the Recruiter/HR Professional of the accommodation needed.

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. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

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