Junior Associate - LEDH

Swiss Re’s interview process typically starts with a timed online aptitude test, followed by a technical interview that probes your Excel, data‑cleaning and basic programming abilities. The final HR round assesses cultural fit, communication skills and motivation. Candidates should be ready to discuss real‑world data handling scenarios and demonstrate a proactive, detail‑oriented mindset.

Round 1: Online aptitude test (quantitative, logical reasoning, English) → Round 2: Technical interview focusing on data handling, Excel & basic programming → Round 3: HR interview covering fit, motivation and cultural alignment

Swiss Re promotes a collaborative, inclusive environment where learning is encouraged through mentorship and formal training programs. Employees enjoy a balanced work‑life rhythm with flexible hybrid schedules and clear career progression pathways.

Bachelor's or Master's degree in Engineering, Commerce, Mathematics, Statistics, Management, Data Analytics or related discipline; Minimum 60% aggregate (or CGPA 6.5/10); Fresh graduates or candidates with 1‑2 years of relevant experience; No active backlogs at the time of joining; Open to all graduating batches.

Swiss Re is a global leader in reinsurance, insurance and risk‑transfer solutions, operating in more than 25 countries with a workforce of over 15,000 professionals. The company’s mission is to make the world more resilient by helping clients manage complex risks ranging from natural catastrophes to cyber threats. With a strong focus on innovation, sustainability and inclusive culture, Swiss Re offers a dynamic environment where fresh talent can grow alongside industry veterans. The Junior Associate – LEDH role sits within the Loss & Exposure Data Handling team of the Corporate Solutions division. This team is the backbone of the underwriting and actuarial workflow, turning raw loss, exposure and submission data into clean, validated information that drives pricing, risk assessment and portfolio decisions for Property & Casualty lines. As a junior associate you will be at the intersection of operations and analytics, supporting global stakeholders while sharpening your data‑management skills. Key responsibilities include: 1. Capture, validate and process loss, exposure and submission data in line with SOPs and business rules. 2. Meet daily/weekly Turn‑around Times (TAT) and Service Level Agreements (SLA) for high‑volume processing. 3. Extract, cleanse and analyse large structured and unstructured datasets using Excel and basic scripting. 4. Identify data quality issues such as missing fields, duplicates or inconsistencies and work with underwriters to resolve them. 5. Produce accurate outputs for pricing, experience rating and risk‑assessment models. 6. Contribute to ad‑hoc reporting, portfolio reviews and analytical requests from actuarial teams. 7. Maintain proactive communication with underwriters, actuaries and cross‑functional teams across regions, documenting action items and follow‑ups. 8. Participate in continuous‑improvement initiatives, suggesting automation ideas and supporting projects using Excel, Python or GenAI tools. 9. Assist in Quality Control (QC) reviews, User Acceptance Testing (UAT) and rollout of new processes. 10. Uphold a customer‑centric mindset, ensuring professional communication and timely escalation of risks. Tech stack: Advanced MS Excel (pivot tables, VLOOKUP, macros), basic Python for data cleaning, SQL basics, MS Access, Power BI for visualisation, and emerging GenAI tools for workflow automation. Growth path: Successful performers can progress to Senior Associate – LEDH, then to Lead Analyst or Business Analyst roles, eventually moving into underwriting, actuarial support or data‑science tracks within Swiss Re’s global operations. Why join Swiss Re? The company offers exposure to world‑class insurance data, mentorship from seasoned underwriters and actuaries, and a hybrid work model that balances office collaboration with remote flexibility. Employees benefit from structured learning programs, competitive compensation, and a culture that values diversity, sustainability and continuous innovation.