C&S Product Owner KA
Swissre · Insurance
- Bangalore, India
- Hybrid
- Posted today
- Product Management
About the job
Are you passionate about harnessing the power of data, AI, and analytics to shape the future of underwriting? Do you thrive in collaborative environments where your insights drive real business impact? If you're ready to bring your expertise in data science and portfolio management to a global stage, we'd love to hear from you. Join our Actuarial Portfolio Management, Credit and Surety team at Swiss Re and be part of something truly transformative.
About the Role
In this role, you will be at the heart of analysing and steering the Credit and Surety portfolio, leveraging advanced internal and external data to drive both risk and profitability outcomes. You will work at the intersection of data science, actuarial thinking, and business strategy — collaborating with underwriting, finance, operations, claims, risk management, and actuarial teams across Swiss Re.
This is a rare opportunity to apply cutting-edge data science to real-world portfolios, connect macroeconomic trends to market performance, and bridge the gap between insurance and banking through credit portfolio management.
Key Responsibilities
About the Team
We are a friendly, collaborative, and client-focused team within Swiss Re Corporate Solutions. The Actuarial Portfolio Management Credit and Surety (APM C&S) team reports directly to the Head of Underwriting Excellence and partners with portfolio owners to provide a robust framework for portfolio steering and strategic insights.
We are passionate about data-driven outcomes and constantly explore new ways to tackle complex challenges through quantitative models and data transformation. Our team brings together diverse expertise — from data science and actuarial science to credit and risk management — creating an environment where curiosity, innovation, and collaboration thrive. Whether you're solving a complex modelling problem or presenting insights to senior leadership, you'll always have the support of a team that genuinely cares about each other's success and the impact we create together.
About You
You are a curious, driven, and collaborative professional who thrives on turning complex data into meaningful business insights. You bring strong interpersonal skills and the ability to build effective working relationships across disciplines and cultures. You are organised, proactive, and comfortable managing multiple priorities in a fast-paced environment. Your ability to blend quantitative rigour with clear communication — through compelling visualisations and presentations — sets you apart.
We Are Looking for Candidates Who Meet These Requirements:
These Are Additional Nice to Haves:
Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week.
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 15,000 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.
If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.
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Reference Code: 139667