Description

Location:Bangalore, KA, IN

Are you passionate about transforming complex claims data into actionable insights? Join our innovative Claims team where you'll leverage your analytical expertise to drive better outcomes, improve efficiency, and support our thought leadership aspirations in the insurance industry. This is your opportunity to make a significant impact in a dynamic, global environment while working with cutting-edge data science technologies.

About the Role

As a Business Analytics Specialist within our Performance , Analytics & Delivery Claims Team , you'll develop sophisticated analytics to enrich our Analytic Data Model (ADM) and enable next-level claims analytics. Working with a high degree of autonomy, you'll be at the forefront of implementing data-driven solutions that create market differentiation throughout our value chain.

Key Responsibilities

• Implement and enhance claims analytics by analyzing existing data and collecting stakeholder requirements to define analytical deliverables, frameworks, and roadmaps
• Develop statistical and predictive models employing techniques such as regression analysis, cluster analysis, and optimization to generate quantifiable insights on business choices
• Annotate data to provide reliable, high-quality training datasets for Machine Learning/Artificial Intelligence initiatives
• Conduct industry research to provide valuable insights helping stakeholders make better business decisions
• Drive innovation by finding creative solutions to data challenges and exploring ways to leverage our data to improve Claims Handling functions

About the Team

The Performance , Analytics & Delivery Claims Team is a forward-thinking team focused on developing analytics capabilities that drive better claims outcomes and support our thought leadership aspirations. We work collaboratively across regions and departments, constantly seeking new tools and technologies to enhance our solutions and create market differentiation in every part of the value chain.

About You

You're a data-driven professional with strong analytical capabilities and excellent communication skills. You thrive in autonomous environments where you can translate complex ideas into practical solutions. Your ability to understand the needs of our insureds, claims staff, and internal stakeholders enables you to deliver effective, innovative solutions.

We are looking for candidates who meet these requirements:

• Degree in Math, Statistics, Actuarial Science, Econometrics, Engineering, Computer Science, Decision Science, Business Management, or other quantitative sciences
• Experience in business analytics with a focus on data extraction, preparation, transformation, data pipeline, and MLOps
• Proficiency in data science programming languages such as Python and SQL
• Knowledge in one or more data science domains like machine learning, predictive modeling, and NLP
• Strong communication and interpersonal skills with the ability to communicate at the executive level

These are additional nice to haves

• Experience working with unstructured data
• Previous insurance experience, particularly in Claims
• Fluency in additional languages beyond English
• Experience collaborating across regions and with colleagues from different departments
• Ability to think and act strategically while maintaining attention to detail

Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week

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.

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.

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Reference Code: 137271

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