Junior Associate - LEDH

Job Summary

Are you someone who finds meaning in turning raw data into decisions that matter Do you thrive in structured, fast-paced environments where accuracy, ownership, and collaboration drive real business impact If youre ready to build a career at the intersection of insurance operations and data analytics - this is your opportunity.

Key Responsibilities

Insurance & Operations

• Support P&C underwriting activities through accurate capture and validation of loss, exposure, and submission data
• Process end-to-end submissions in line with Standard Operating Procedures (SOPs), business rules, and operational controls
• Consistently meet Turnaround Times (TATs), SLAs, and quality benchmarks to ensure seamless service delivery
• Manage high-volume processing and time-sensitive business requests, including backlog prioritization

Data & Analytics

• Extract, cleanse, validate, and analyse large datasets from both structured and unstructured sources
• Identify and resolve data quality issues including inconsistencies, missing information, and duplicates
• Deliver accurate outputs and insights to support pricing, experience rating, and risk assessment activities
• Contribute to ad-hoc reporting, portfolio reviews, and analytical requests as needed

Stakeholder Engagement & Meeting Discipline

• Collaborate closely with Underwriters, Actuaries, and cross-functional teams across global regions
• Proactively communicate status updates and escalate risks, delays, or data issues in a timely manner
• Participate actively in meetings, document action items clearly, and ensure follow-ups are completed within agreed timelines
• Maintain a strong customer orientation and professional communication standards at all times

Continuous Improvement & Automation

• Identify operational pain points and contribute ideas and solutions to process improvement initiatives
• Support automation and efficiency projects using tools such as Excel, Python, and GenAI
• Participate in QC reviews, UAT cycles, and project rollouts, documenting key findings and learnings

About the Team

LEDH (Loss & Exposure Data Handling) is part of Data Curation & Reporting within Corporate Solutions at Swiss Re. The team works in close partnership with Underwriters, Actuaries, and global stakeholders to deliver accurate, high-quality loss and exposure data that underpins pricing, experience rating, risk assessment, and underwriting decisions. With a strong focus on turnaround time, service standards, and quality control, the team plays a pivotal role in enabling data-driven decision-making across the Property & Casualty insurance landscape.

About You

You bring curiosity, rigour, and a genuine interest in the world of insurance and data. Youre someone who takes ownership of your work, communicates proactively, and thrives when given the opportunity to solve complex problems in a collaborative, global environment. Whether youre just starting out or bringing a couple of years of relevant experience, what matters most is your drive to learn, your commitment to quality, and your ability to deliver consistently under pressure.

Requirements

We are looking for candidates who meet these requirements:

• Strong MS Excel proficiency with demonstrated confidence in handling, analysing, and validating large datasets
• 1-2 years of experience in operations, analytics, data management, insurance, or a similar business support function
• Bachelors or Masters degree in Engineering, Commerce, Mathematics, Statistics, Management, Data Analytics, or a related discipline

Nice to have

• Knowledge of Python, SQL, MS Access, or Power BI for data processing and reporting
• Familiarity with GenAI tools and an interest in applying them to operational workflows
• Insurance or Reinsurance knowledge, particularly in Property & Casualty lines of business
• Experience working in a high-volume, deadline-driven operations environment with SLA/TAT accountability
• Strong stakeholder management and communication skills, including experience working with cross-functional or global teams
• A growth mindset - adaptable, positive, and eager to contribute to automation and continuous improvement initiatives

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.