Junior Associate - LEDH

Vista previa de la oferta

Junior Associate - LEDH

junior · Insurance

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 you're ready to build a career at the intersection of insurance operations and data analytics — this is your opportunity.

About the Role

As a Junior Associate in the Loss & Exposure Data Handling (LEDH) team, you'll play a business-critical role supporting underwriting and actuarial teams across Swiss Re's Corporate Solutions division. From extracting and validating complex datasets to meeting tight turnaround times and engaging with global stakeholders, this role puts you right at the heart of Property & Casualty insurance operations. It's a role where your attention to detail, analytical mindset, and commitment to quality will directly influence pricing, risk assessment, and underwriting decisions worldwide.

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. You're 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 you're 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.

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
• Bachelor's or Master's degree in Engineering, Commerce, Mathematics, Statistics, Management, Data Analytics, or a related discipline

These are additional nice to haves:

• 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

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.