
10,000+ employees
💸 Finance
💰 Post-IPO Debt on 2023-03
Insurance • Finance • Reinsurance
Swiss Re is a leading global reinsurance company that provides insurance-based risk transfer solutions. With a commitment to innovation and financial stability, Swiss Re helps clients navigate various risks, including life, health, and property. The company aims to enhance the sustainability and resilience of societies by offering reinsurance, insurance, and related services, ensuring businesses can thrive amid uncertainties.
🕒 March 16
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10,000+ employees
💸 Finance
💰 Post-IPO Debt on 2023-03
Insurance • Finance • Reinsurance
Swiss Re is a leading global reinsurance company that provides insurance-based risk transfer solutions. With a commitment to innovation and financial stability, Swiss Re helps clients navigate various risks, including life, health, and property. The company aims to enhance the sustainability and resilience of societies by offering reinsurance, insurance, and related services, ensuring businesses can thrive amid uncertainties.
• Manage Financial Market Transformation (FMT), Remote Risk Transactions (RRT) and VA/GMxB/index-Linked in-force portfolios • Develop and maintain stochastic cashflows models for transactions, using scripting languages • Analyze biometric and policyholder's behavior experience and propose assumption updates for variable annuity products • Support on-boarding of new transactions with technical precision and attention to detail • Standardize transaction reporting processes for valuation, accounting, statutory, risk management, and hedging purposes • Perform regular ad-hoc investigations into existing processes and data (policy data, P&L attribution, reserving, etc.) • Collaborate with cross-functional teams across Swiss Re to improve management of financial and biometric exposures
• Academic background in Mathematics, Computer Science, Financial Modeling, Actuarial Sciences, or Finance • Experience with scripting and analytical languages (e.g., Python, R, C++, C, Moses, Prophet, AXIS) • Understanding of life insurance business concepts with 4+ years of relevant experience • Experience in running biometric experience studies on variable annuity products, preferably using R or Python • Quantitative technical abilities with practical experience using various tools for data analytics • Curious mindset interested in investigating underlying drivers and patterns • Performance minded – drive to grow new business, KPI focused • Actuarial qualification, or working towards it is a nice to have • Working knowledge of financial markets is a nice to have • Pricing experience is a nice to have • Knowledge of regulatory frameworks is a nice to have • Knowledge of IFRS 17 and IFRS 9 is a nice to have • Experience collaborating with Treasury and Risk Management is a nice to have
• Hybrid work model where the expectation is at least three days in the office
Apply Now🕒 March 12
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