Junior Associate - Loss & Exposure Data Handling

Swiss Re; Bengaluru; On-site; INR 600,000 - 900,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Swiss Re in Bengaluru is seeking a Junior Associate in LEDH to transform loss and exposure data into actionable insights, supporting underwriting and actuarial functions with data handling and analytics.

You will use Python basics and GenAI tools, work with global stakeholders, and help with pipeline processing, validation, and documentation. Hybrid work model in a dynamic insurance data team driving risk assessment and pricing model enhancements.

Qualifications

• 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, especially Excel, for data manipulation.
• Ability to handle large datasets with accuracy and attention to detail.
• Excellent communication and ability to work in a global team.

Responsibilities

• Execute end‑to‑end processing and quality validation of loss and exposure data.
• Conduct deep‑dive data analysis and implement corrections.
• 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 domain knowledge and technical expertise.
• Identify and improve operational pain points through process optimization.
• Support automation initiatives using basic Python or GenAI tools.
• Assist with project management including requirements documentation and stakeholder coordination.

Skills

MS Office (Excel)

Data handling

Python basics

Communication skills

Global collaboration

Education

Bachelor's or Master's degree in Engineering, Commerce, Mathematics, Statistics, or Management

Tools

Python

MS Access

GenAI tools

Job description

Junior Associate LEDH

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.

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

Nice to Have

• 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

Work Model

Hybrid: you are expected to be in the office at least three days per week.

EEO Statement

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.