Actuarial Data Scientist

**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.

**About the Unit**

Make a difference in your career journey with the second biggest reinsurance company in the world with 13,000+ diverse employees in over 60 offices worldwide. This is your opportunity to be part of the Swiss Re Institute working closely with our underwriting units and other business functions globally.

Our location at the heart of Bangalore has been witnessing sustainable growth - the kind of growth characterized by the complex and differentiated value delivered to the business.

**Your opportunity**

This position is an exciting opportunity to join the Insights wing of overlap of Underwriting-Actuarial-Analytics function located in Bangalore. The focus of this role would be to work for Underwriting Casualty Policy renewals for Insurance companies and carriers for the Americas Casualty portfolio, design and support of the existing and future costing and underwriting tool landscape, curating critical insights using current and future use cases on claims and exposures, helping fine-tune the current and future improvements to team offerings, mandates and endeavors - at a scale and volume handled by leveraging data science techniques, platforms and tech infrastructure

You will be working together with our external and internal, business, and technical partners to identify and address the business needs.

You will be part of a team working on spear tip research topics in the insurance industry. You will venture out of your comfort zone to share views, hypothesize and brainstorm solutions, and then fully focus on execution together with the team.

You will work in cross-functional international self-organizing team in an Agile project setup and strive for the excellence of Swiss Re's Casualty book of business.

You will be supported to further develop your skills in Actuarial/Statistical/Machine Learning/Programming and Technology.

**About You**
- Master's Degree in Actuarial Science/Mathematics/Statistics (Min. 1 or 2 actuarial exams will be preferred)
- 5 or more years of working experience in the field of Actuary, Underwriter, Data Scientist or other similar roles
- Good knowledge of applied math (probability theory, mathematical statistics)
- Proficiency in programming languages suitable for database access, scripting and statistical analysis
- Experience in database management systems using SQL or similar
- Willingness to familiarize with Casualty insurance business
- Must be able to interpret business specs and ask clarifying questions
- Willingness to understand and question the underlying data
- Excellent oral and written communication skills
- Strong learning motive
- Ability to work accurately and deliver to deadlines
- Fluent English written and spoken
- Self-driven and motivated

**Nice to have**
- Familiarity of the Casualty business and the relevant risk drivers behind Casualty losses
- Knowledge of text mining using web scraping, NLP or Deep learning
- Knowledge of solving problems using machine learning techniques
- Experience in scripting languages like R or Python or PySpark