Senior Actuarial Analyst (Corporate)

About the Team

We are Group Costing Methods (GCM) team within Underwriting Excellence and are responsible for the definition and improvement of Costing methods, review, calibration, and deployment of costing parameters. We are a highly collaborative, knowledgeable team with costing expertise across lines of business. The team is currently mainly spread across Zurich and Bengaluru. We have a mandate to advise on underwriting decisions and maintain a holistic costing framework for new business and data-driven insights across the organization.

About the role

We are looking for a self-driven team member, with a strong numerical and academic background and a good overview of (re)insurance business to join the Group Costing department in Bengaluru. The role is primarily focused on Costing Parameters, with a specific emphasis on impacting daily decision-making in Underwriting. You will work closely with the Costing Economic Model team as well as GCM's IT teams and diverse BU or Group functions across Underwriting, Finance, and Risk Management. Our responsibilities also include:

• Definition of the costing methodology, including the review, calibration, and deployment of costing parameters
• Improvement of costing infrastructure
• Support teams from around the organization by answering / clarifying ad hoc analytical / actuarial requests
• Implement parameters in an auditable way
• Maintain up-to-date documentation on process, input, output, and sign-offs
• Understanding and enhancements of Data structure
• Proactive stakeholder management

The position involves performing quantitative analyses on portfolio data and complementing them with expert judgment. In the role, you will leverage our sophisticated tools and systems landscape as well as underwriting and market knowledge; you will contribute to assuring the sustainable performance and the continuous enhancement of our technological infrastructure. The corporate title of the position will be AVP.

About You

• University degree with a very strong quantitative background e.g., covering modeling and advanced data analysis.
• 3-4 years of modeling and project management experience in (re) insurance.
• Ability to read the big picture behind the data.
• Be able to drive projects and deputize product owner – Experience in working with IT teams and writing specifications is an advantage.
• Solid understanding of Python, R, SQL is advantageous.
• Strong communication skill: you naturally bring individuals together in an interdisciplinary, multi-cultural environment and cross-functional teams.
• Open and curious to learn more, quick-minded, creative, ambitious status quo & navigates ambiguity.
• Self-starter who is methodical and well-organized. Highly acted, upbeat, proficient, and reliable
• Pragmatic in balancing ideas' origination and results' orientation with strong problem-solving skills.
• Strong team player with a high degree of personal accountability
• Comfortable with working in a multi-location team

Languages: proficient in English (written and spoken)

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.