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Swiss Re is hiring a

Senior Portfolio Manager (Product Management Actuary)

Are you keen to be part of the team to support the portfolio growth of the Financial Solutions Ambition announced as part of the L&H Ambition Reset? Are you savvy with financial reinsurance and capital solutions, and excited about optimizing performance under the updated regulatory frameworks for VA/GMxB and related product lines?

About the Job

  • Manage the in-force performance of VA/GMxB, Financial Market Transformation (FMT), and Remote Risk Transactions (RRT) portfolios.
  • Develop, enhance and maintain stochastic models for valuation and pricing of VA and GMxB riders under economic, International Financial Reporting Standards (IFRS), and US Statutory frameworks. Use scripting languages for regular production, performance optimization, management reporting, etc.
  • Analyze biometric experience and propose assumption updates for review and approval by Risk Management.
  • Present material for Quarterly Monitoring committees on transaction level experience.
  • Perform regular and ad-hoc investigations into existing processes and data (such as policy data, Profit & Loss attribution, reserving and capital calculations, etc.).
  • Collaborate and consult with other groups in L&H and across the wider Swiss Re Group (LHSS, Client Markets, Finance, Risk, etc.) to continually improve our ability to manage the financial and biometric exposures of the portfolio.
  • Support onboarding of new transactions (e.g., Captive and Capital Relief) and new products (e.g., FIA, RILA), leading internal coordination across functions in L&H to ensure the smooth transition of models and processes into production.
  • Support standardizing and productionizing of transactions reporting for valuation, accounting, statutory, risk management, and hedging purposes.

About the Team

Major relationships include:

  • L&H FMI Pricing & Structuring.
  • L&H Structured Solutions.
  • Risk Management – Financial Risk Management, Valuations.
  • Finance.
  • Treasury.
  • Asset Management.

About You

  • Mathematical / Computer Science / Financial modelling / Actuarial Sciences / Finance academic background.
  • Understanding or interest in life insurance business concepts. 5+ years of experience.
  • Experience with scripting and analytical languages e.g., Python, R, C++, C, Moses, Prophet, AXIS.
  • Quantitative technical abilities. Practical experience using a range of tools to perform data analytics.
  • Curious mind interested in investigating the underlying drivers and patterns.
  • Working level financial markets knowledge, collaboration with Treasury, etc.
  • Performance minded – drive to grow new business, KPI focused.

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.

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.

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.

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