Key skills
PythonAIGenAIAnalyticsBusiness IntelligenceProject ManagementCommunicationCollaboration
About this role
Are you passionate about transforming complex data into valuable insights? Join our dynamic Loss & Exposure Data Handling team where your analytical skills will directly impact business decisions and drive innovation in the insurance industry. This role offers an exciting opportunity to work with cutting-edge tools including Python and GenAI while collaborating with global stakeholders.
About the Role
As a Junior Associate in our LEDH team, you'll be at the intersection of data management and business impact, supporting critical underwriting and actuarial functions. Your work will directly contribute to risk assessment, pricing model enhancements, and strategic business decisions.
Key Responsibilities
- Execute end-to-end processing and quality validation of loss and exposure data
- Conduct deep-dive data analysis and implement necessary corrections and refinements
- Manage backlog clearance and ensure timely processing of portfolio data
- Maintain comprehensive documentation and handle administrative tasks efficiently
- Deliver analytical insights and high-quality outputs to stakeholders
- Continuously enhance your domain knowledge and technical expertise
- Identify and improve operational pain points through process optimization
- Support automation initiatives using basic Python programming or GenAI tools
- Assist with project management including requirements documentation, stakeholder coordination, and quality control
About the Team
LEDH (Loss & Exposure Data Handling) is part of Data Curation and Reporting under Standard Underwriting, Corporate Solutions. The team collaborates globally with underwriting, actuarial, and cross-functional departments to manage and refine data critical for deal costing and pricing model enhancements. As Corporate Solutions grows, LEDH plays a key role in adapting to new market demands and evolving tools and frameworks.
About You
You're a detail-oriented professional with strong analytical abilities and a passion for data management. You thrive in collaborative environments and are eager to learn new technologies. Your communication skills allow you to effectively translate complex data concepts to diverse stakeholders, and you're motivated by solving challenging problems.
We are looking for candidates who meet these requirements:
- Bachelor's or Master's degree in Engineering, Commerce, Mathematics, Statistics, or Management
- 1-2 years of relevant experience in data handling or analysis
- Strong proficiency in MS Office suite, particularly Excel for data manipulation
- Demonstrated ability to handle large datasets with accuracy and attention to detail
- Excellent communication skills and ability to work in a global team environment
These are additional nice to haves:
- Knowledge of MS Access or similar database tools Insurance or Reinsurance domain knowledge
- Experience with Python programming or other scripting languages
- Familiarity with GenAI tools and their applications in data processing
- Background in analytics, data management, or business intelligence
- Experience working in cross-cultural or global teams
- Problem-solving mindset with ability to suggest process improvements
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 15,000 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.
We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.
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Reference Code: 138510
Reference Code: 138510