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Swiss Re is hiring a

Senior Actuarial Analyst

Our company has a hybrid work model where the expectation is that you will be in the office two to three days per week on average; however, for the right candidate the role is open to ALL US locations.

Are you an experienced property actuary that enjoys developing and enhancing insurance products? Join our team to create insurance solutions that drive innovation in property and flood insurance.

About the Role:

The role is in Property Solutions, collaborating with stakeholders internal to Swiss Re and externally across the insurance value chain.

Key Responsibilities:

  • Develop residential and commercial property pricing and underwriting solutions

  • Analyze claims experience to implement better pricing and underwriting strategies

  • Originate and deliver new product growth strategies for applying Swiss Re's data and analytic assets

  • Monitor the health of Swiss Re's private flood portfolio and recommend changes to drive profitable growth and/or reduce portfolio risk

About the Team:

Property Solutions is a global team offering products and solutions to our client base across insurers, brokers, and corporate customers. We drive risk selection, pricing and portfolio steering through risk intelligence products, risk modelling, and insurance product innovation. We use Swiss Re's data and analytic assets to develop and improve products that help solve our clients' challenges.

You will become a member of a vibrant international team with a high energy level and a can-do demeanor. We celebrate success but also learn from failures. Helping communities handle natural catastrophes is our mission together with our partners – and you!

About You:

  • Minimum of 5 years' experience in a catastrophe-exposed pricing or product analyst/management role. Flood pricing or modeling experience highly preferred.

  • Associate or near-Associate level of the Casualty Actuarial Society or Canadian Institute of Actuaries

  • Experience developing pricing plans using catastrophe modeling, as well as based on historical data

  • Experience with statistical models including GLMs. R coding experience preferred

  • Admitted market rate filing experience is a plus

For Armonk, NY, the estimated base salary range for this position is $90,000 to $156,000. 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 14,000 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.

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.

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