Apprentice
Bangalore, KA, IN
About the Team:
This role offers you a chance to join the multi-faceted, fast paced world of a highly specialized P&C financial services organization.
You get in-depth exposure to Swiss Re’s proprietary natural perils model platform, costing tools and to reinsurance business from Swiss Re's global client base. Depending upon your inclination and skills, you can also widen your roles in multiple areas.
About the Role:
Key responsibilities:
- Understanding Re/Insurance business
- Support underwriters during peak renewal season. Support analysis, modelling of exposures and investigation for data issues
- Support ongoing collaboration initiatives with the global functions and business partners on projects to generate valuable services for Swiss Re
- Use insights gained from dealing with large data amounts for building new/sophisticated analytics and client services
About you:
Requirements:
- University degree in the field of natural science or a quantitative field which is closely related to these subject areas – Statistics, Technology, Engineering, Sciences
- Strong motivation to learn about insurance and reinsurance business
- Knowledge on Natural catastrophes is an advantage
- Ambition to deliver strong results and work in projects with tight deadlines
- Good Interpersonal and communication skills
- Proficiency in MS Office tools, especially MS Excel and MS PowerPoint
- Knowledge on Data Analytics/Programming languages like SQL, R, Python, MATLAB, ArcGIS will be preferred
- Analytical mindset, proactive attitude, self-motivated, team player and ability to learn
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. 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.
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.
Keywords:
Reference Code: 132618
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data Analytics Engineering Excel Matlab Python R SQL Statistics
Perks/benefits: Flex hours
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