C&S Product Owner

About the Position

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.

Responsibilities

• Translate business needs into solutions by working closely with stakeholders to understand problem statements and business context, converting them into well-defined analytical requirements
• Build and deploy analytics solutions for the Credit and Surety line of business, contributing to portfolio steering and monitoring in alignment with strategic objectives
• Drive data-driven transformation by collaborating with cross-functional teams to develop innovative solutions that enhance risk management and underwriting efficiency
• Design and maintain large-scale data pipelines using PySpark and Python, ensuring robust, optimised, and scalable data transformation processes
• Develop interactive dashboards and visualisations that deliver strategic insights to business stakeholders, enabling informed decision-making
• Lead project delivery and provide guidance to junior colleagues, fostering a culture of continuous learning and excellence
• Investigate portfolio patterns and trends, connecting economic indicators to performance outcomes to support long-term profitability

Requirements

• 5+ years of analytical experience with hands-on expertise in PySpark and Python, particularly in building and optimising large-scale data transformation pipelines
• 3+ years of SQL experience, with the ability to write and optimise complex queries confidently
• Extensive experience in data visualisation and developing interactive dashboards tailored to business stakeholders, with a focus on delivering strategic insights
• Proven track record of applying analytical skills to real business data to develop actionable insights and practical solutions
• Solid academic background (university degree or higher) in Data Science, IT, Mathematics, Statistics, Econometrics, or an equivalent field

Nice to Have

• Experience with Palantir Foundry or other big data platforms
• Background in credit quantitative models, credit portfolio management, or risk management in banking or insurance
• Experience working in an Agile environment, collaborating with cross-functional teams to deliver business outcomes
• Knowledge of credit aggregation, global macroeconomics, financial markets, and credit-related products; experience in Trade Finance and Surety sectors is a plus
• Experience leading project delivery and mentoring junior colleagues
• Advanced English communication skills, both written and verbal
• Proven ability to work independently, solve complex problems, and drive business impact through data-driven strategies

We Offer

• Hybrid work model with the expectation to be in the office at least three days per week

About the Company

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.

Keywords: Data Scientists

Reference Code: 139667

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Location: Bangalore, KA, IN

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