Share this Job

Bangalore, KA, IN

Head P&C Analytics Bangalore


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.

At Swiss Re we combine experience with creative thinking and cutting-edge expertise to create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 13,000 employees across the world.

We offer a flexible working environment where curious and adaptable people thrive. Are you interested in joining us?


About the Role

We are looking for a strong leader and results-oriented and individual in Bangalore with a real passion for leadership, analytics and technology to join our highly skilled team. As Head P&C Analytics Bangalore, you will build a best-in-class team and drive our risk asset and data & model efforts, as well as support in risk consultancy project with clients across the globe. You will be part of the P&C Analytics leadership team and report into the Head P&C Analytics and work with colleagues from various countries across different locations to develop and deliver our offering to our clients.


About the Team

Would you like to contribute to P&C Solutions, one of the three pillars within Swiss Re Reinsurance, with your ideas? This is a rare opportunity to provide consultancy and analytics to insurance companies in a name of one the most important reinsurance companies on the market!

We add value to clients’ original business by providing solutions and services across the value chain. Our clients' needs are at the heart of what we do, as we make sure that our solutions and services help our clients grow and make commercial sense. It is within the mandate of our team to be at the forefront of analytics understanding by driving the development of novel solutions through the combination of risk knowledge and data science capabilities.


About You

  • Build and lead a best-in-class team of about 15 FTEs
  • Develop cutting-edge risk assets and data & model solutions and thus work hand-in-hand with the respective LoB Product Managers and Tech Leads.
  • Drive, influence and execute the P&C Analytic strategy and be strong contributor as part of the leadership team.
  • Responsible for integration of relevant data sources into the global data model
  • Close collaboration with IT team on the development plan of the risk assets and data & model.
  • Project management along the delivery process and ensure quality standard are met.
  • Advanced degree and education with quantitative background (computer science, natural sciences, applied mathematics / statistics, engineering, econometrics)
  • Good knowledge of the primary insurance market for the property line of business, having worked for an insurance, broker, consulting, model vendor or analytics company.
  • Experience in modelling approaches, such a predictive analytics, Cat and other analytics skills (NLP) and knowledge and demonstrated expertise in machine learning concepts and analytics
  • Global Insurance Analytics experience is preferred to support all the regions
  • Strong analytical problem-solving skills, business mindset, can-do attitude and ability to assimilate complex information
  • Experience running technical projects from conception to productive IT implementation
  • Expertise in statistical tools and programming languages like python, R, relational databases and SQL, Tableau, MS PowerBI and experience in software development.
  • Strong leadership skills and ability to build and lead a best-in-class team
  • Teammate with strong interpersonal skills and the ability to work in an interdisciplinary and multi-cultural environment
  • Methodical and well-organized
  • Open and curious, quick-minded, fast-learner, creative
  • Proficiency in English
  • Flexibility to travel

Reference Code: 96622 


Job Segment: Analytics, Underwriter, Data Analyst, Data Modeler, Insurance, Management, Data