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Pricing Actuary, Pricing L&H

Work from home Full-time role Hiring

Job Description:

  • This role offers the opportunity to work on complex and high-impact projects, collaborate across functions, and contribute to Swiss Re’s strategic goals in the L&H reinsurance space.
  • Reinsurance Pricing & Assumption Development
  • Build and execute pricing models for individual life reinsurance in alignment with profitability targets.
  • Analyze data, assess risk, interpret results, and develop recommendations.
  • Ensure actuarial soundness and compliance with internal governance and approval processes.
  • Client & Deal Support
  • Collaborate closely with client managers and clients to develop tailored solutions.
  • Maintain a deep understanding of client products, experience data, and strategic goals.
  • Contribute to client strategy and support deal execution with timely, high-quality deliverables.
  • Documentation & Governance
  • Clearly document pricing analyses to ensure transparency and reproducibility.
  • Meet or exceed service level expectations, including quote turnaround times and client deadlines.
  • Cross-Functional Collaboration
  • Act as a proactive member of cross-functional teams.
  • Stay informed on industry trends, regulatory developments, and client-specific dynamics to identify and pursue revenue-generating opportunities.
  • Join a dynamic team within the US Life & Health Market Unit.
  • We’re seeking a highly motivated and forward-thinking actuary to help shape the future of our reinsurance portfolio. As a Pricing Actuary, you will play a key role in delivering innovative solutions and driving long-term value for a diverse set of US life insurance clients.

Requirements:

  • Associate or Fellow of a recognized actuarial body (e.g., Society of Actuaries, Institute of Actuaries of India, Institute and Faculty of Actuaries), with 5+ years of relevant experience.
  • Bachelor’s degree in actuarial science, mathematics, statistics, or a related field.
  • Strong understanding of actuarial models and business processes, with the ability to evaluate model accuracy and uncertainty.
  • Proven ability to synthesize analytical results into actionable insights and communicate them effectively to both technical and non-technical audiences.
  • Sound business judgment and decision-making skills, especially in situations involving ambiguity or limited data.
  • Excellent communication and interpersonal skills, with the ability to influence and collaborate across teams.

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