Job Description

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 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 team

"Generate leading insights to handle, steer and anticipate our business" is our Analytics team\'s vision. The Enabling Advanced Analytics Team is a team in Business Excellence and part of P&C Re Operations and is accountable for development and maintenance of P&C Re Operations Analytics landscape.

We support the post-bind Operations departments (Technical Accounting & Claims Operations, Claims Management, In-force Management and Reserving), by generating significant business insights. The team is regularly interacting with senior key stakeholders and acts as interface between the business and IT partners.

About the role

This role will be based in Bangalore where other Enabling roles are already located. The role holder will closely work with the Enabling Advanced Analytics Lead and other Enabling team members as well as IT and business stakeholders to solve business problems from a data driven perspective. The Advanced Analytics specialists will also participate to projects from definition to completion and ensure the maintenance and the evolution of the analytics platform.

Key tasks

• Translate business needs and requirements into specific quantitative questions, that can be answered with available data using sound methodologies
• Identify and highlight gaps in existing datasets to enhance the ongoing data collection process
• Use statistical, algorithmic, data mining, and visualization techniques to model complex problems, find opportunities, discover solutions, and deliver actionable business insights
• Create business value by leading end-to-end data science solution development, deploying advanced AI/Machine Learning models and make process improvement recommendation
• Own your projects and use this autonomy to find creative and innovative ways of solving problems, delivering solutions and manage stakeholders at different levels.

About you

Technical and analytics skills:

• Master\'s degree in STEM/Economics/Statistics/Engineering Graduate with strong Data/Analytical/Programming skills
• Minimum 5 years of work experience in Data Science or equivalent field
• A strong background in advanced statistics, particularly in probability theory and experience in scientific computing is a must
• Experience using descriptive, prescriptive and predictive modelling techniques. Proficiency in Python, PySpark/Spark and proven experience using popular ML/AI packages
• Hands-on experience with data engineering and data science frameworks with intermediate-level knowledge of one or more cloud platforms like AWS, Azure, Google Cloud, etc.
• Other preferred technical capabilities: SQL, R, PowerBI
• Experience in the re/insurance industry is a plus
• Experience working in diverse projects

Soft skills and a consulting approach

• Communicate clearly and simply, even when dealing with complicated problems and ideas, and do so both orally and in writing. When interacting with colleagues, you adjust your communication style to meet the needs of others.
• Open-minded, intellectually curious and enjoy continually learning from a variety of sources.
• A self-starter and able to solve problems and develop solutions
• Ability to tell a compelling story based on data & facts
• Asking appropriate questions to understand your partners
• Attention to detail: You have a passion for the detail while keeping the big picture in mind and been able to prioritize critical task
• Candidate should be able to deal with a fair amount of ambiguity e.g., ability to handle diversity and be able to work in a matrix organization

We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity - diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities, and experiences - at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when, and where to carry out your task

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 and their passion for sustainability.

Keywords:
Reference Code: 125921

Swiss Re