Swiss Re

Data Engineer

• Design and implement data pipelines in collaboration with data users and cross-functional teams, including hands-on development and solution architecture
• Ensure reliability and optimal performance of our data assets in Foundry and Azure environments
• Transform complex business requirements into high-quality data assets and capabilities
• Deliver efficient code using primarily PySpark/Python, SQL and TypeScript, focusing on simplicity, reusability, performance, and maintainability
• Optimize Spark jobs for efficiency and cost-effectiveness
• Collaborate with solution engineers, data scientists and product owners to deliver end-to-end data products
• Support emerging AI and ML capabilities

Senior Data Engineer

QA Engineer

• Manage day-to-day L3 production support and operational oversight for Life & Health applications.
• Provide Level 3 (L3) production support, including incident and problem triage, root cause analysis, workaround definition, and long-term solution design.
• Ensure high systems availability, stability, and performance, including proactive monitoring and issue prevention.
• Manage application access, authorization, and audit controls, ensuring adherence to security and compliance standards.
• Support release, deployment, smoke testing, and production induction activities.
• Define test strategies, test scenarios, acceptance criteria, and detailed test cases for functional, regression, integration, and data testing.
• Perform hands-on testing of applications, integrations, and data pipelines.
• Investigate defects, production issues, and data inconsistencies, working closely with development teams to resolve them.
• Coordinate and support User Acceptance Testing (UAT) and obtain business sign-off.
• Contribute to and help enforce automated testing practices and CI/CD pipelines.
• Ensure quality standards are met across the full SDLC, from design through production support.
• Act as an operational and quality consultant to development teams, influencing design decisions for maintainability, scalability, and supportability.
• Maintain application documentation, including runbooks, operational procedures, and service-level documentation.
• Drive process improvements, automation, and operational efficiency initiatives.
• Support vendor coordination and offshore/onshore team collaboration.
• Ensure adherence to IT standards, security requirements, and governance processes.

Lead Ops & QA Engineer

• Collaborate closely with product owners and requirements engineers
• Develop comprehensive testing plans
• Create and maintain automated UI & API tests
• Implement quality gates
• Understand root cause analysis of production issues

QA Engineer II

Data Analyst

• Identify opportunities by working with stakeholders throughout the GDM organization to leverage data for innovative business solutions
• Analyze and mine data from Sales Analytics databases to drive efficiency improvements and meet growth objectives
• Evaluate and assess the effectiveness and accuracy of new data sources and data gathering techniques
• Develop and automate reports and iteratively build dashboards to provide insights at scale, addressing key business priorities
• Create monitoring tools and processes to analyze model performance and ensure data accuracy
• Stay current with the latest advancements in Gen AI technologies and recommend innovative solutions to enhance data science processes
• Deliver impactful presentations of findings and recommendations to multiple levels of stakeholders, creating compelling visual displays of quantitative information
• Manage stakeholder relationships effectively by soliciting ideas, prioritizing needs, and managing expectations

Analytics Analyst

Business Analyst

• Lead Digital Transformation Initiatives: Identify opportunities to leverage technology and data to enhance end-to-end P&C reinsurance processes.
• Document and Analyze: Create comprehensive documentation for business requirements, system specifications, and process workflows.
• Optimize Underwriting Processes: Streamline workflows and enhance decision-making through data-driven analysis and process improvement.
• Collaborate for Success: Work closely with cross-functional teams, including underwriters, IT professionals, and other business units, to implement solutions that align with organizational goals.
• Facilitate Engagement: Conduct workshops and meetings to gather feedback, promote collaboration, and ensure a shared understanding of project objectives.
• Support Seamless Integration: Partner with IT teams to ensure effective system integration and support the organization’s digital ecosystem.
• Provide Training and Support: Train business users, facilitate knowledge transfer, and support incident and defect resolution to ensure smooth adoption of new solutions.

Senior Business Analyst

Application Engineer

• Modernize and maintain large existing Java codebases, transforming them to meet evolving business needs
• Develop new services and applications that add valuable capabilities to our application landscape
• Review code and provide constructive feedback to developers, guiding them through technical challenges
• Stay current with Java and Spring Boot developments, implementing the latest technologies to improve our systems
• Design and implement database solutions using PostgreSQL, MongoDB, and REDIS
• Architect loosely coupled systems using domain events and commands via RabbitMQ and Azure Service Bus
• Collaborate with business analysts, developers, and testers to deliver high-quality software solutions
• Provide technical leadership to product development teams, setting standards and removing obstacles

Senior Application Engineer

• Develop detailed test plans, scenarios, and cases based on business requirements
• Execute manual testing across functional, regression, integration, and user acceptance testing cycles
• Identify, document, and track defects through closure, ensuring thorough validation and complete test coverage
• Design, develop, and maintain automated test scripts using Cypress; optimize frameworks and integrate test automation into CI/CD pipelines
• Conduct comprehensive API testing using industry-standard tools; perform performance and load testing using tools like JMeter or Gatling
• Recommend enhancements to QA processes, tools, and methodologies to improve productivity and quality
• Provide guidance and support to junior QA team members when required
• Work closely with Product, Development, and DevOps teams in an Agile environment to support high-quality releases

QA Engineer III

• Lead and mentor a team of data architects across the globe
• Manage and promote Data Architecture artefacts (Canonical Model, Physical Models, Data Catalogue, Domain Data flows, Master Data and Meta Data management)
• Embed data quality, lineage, cataloguing, and observability into architectural designs
• Improve operational rigor with clarified standards and principles
• Establish and enforce data architecture standards, reference architectures, and design patterns
• Engage Data Architecture across multiple topics, from Data Integration and Data Analytics to AI
• Collaborate with Data Governance teams
• End-to-end data analysis on major global programs in a fast-moving Agile environment
• Complex SQL-based data analysis
• Create full transparency of data for customers

Lead Data Architect

DevOps Engineer

• Administer Azure services including networking, storage, compute, policies, monitoring, security, identity, functions, and cost optimization.
• Write PowerShell scripts for automation and management tasks.
• Implement and manage Kubernetes clusters for container orchestration.
• Create Dockerfiles to build container images.
• Utilize Terraform for infrastructure as code (IaC) deployments.
• Implement CI/CD pipelines and release management using Azure DevOps.
• Manage Helm charts for deploying applications to Kubernetes clusters.
• Lead and mentor a team of DevOps engineers, providing technical guidance and support.
• Work collaboratively with development and operations teams in Agile environments.
• Manage backlog and prioritize tasks for the DevOps team.
• Leads the design of scalable infrastructure architecture patterns and reviews/approves complex IaC implementations.
• Designs reusable pipeline templates and defines branching strategies for consistent delivery practices.
• Identifies automation opportunities and develops reusable PowerShell/automation frameworks adopted across projects.
• Owns cost monitoring and optimization initiatives while enhancing overall performance and reliability.

Lead DevSecOps Engineer

Project Manager

• Manage projects including delivery and staffing boards, coordinating weekly/bi-weekly status updates, and facilitating progress tracking and reporting
• Support Project Leads by enabling fast operations, governance, and stakeholder engagement
• Coordinate and prepare trainings, knowledge sharing events and communications such as articles, show-and-tells, conferences and project spotlights across our portfolio
• Organize and facilitate cross-functional meetings, from weekly syncs to large ad hoc gatherings with 20+ participants
• Drive continuous improvement of analytics operations and team processes through structured approach and best practices
• Serve as point of contact for training, knowledge sharing, reporting, onboarding, and governance-related guidance across our teams
• Track AI tools adoption across portfolio to enable business impact measurement

Project Manager – Operations Specialist

Solutions Engineer

• Design and implement scalable, secure cloud architectures tailored for various risk intelligence applications and systems
• Leverage AI tools including GitHub Copilot, Microsoft Copilot, ChatGPT Enterprise, and Builder.io to enhance development processes
• Collaborate closely with enterprise architecture, IT, and business teams to deliver customized cloud-based solutions aligned with strategic goals
• Ensure compliance with industry security standards and implement robust security measures to protect sensitive data
• Provide technical leadership and mentorship to team members, fostering a culture of continuous learning and improvement
• Optimize cloud resources for maximum efficiency and cost-effectiveness
• Stay current with the latest industry trends and cloud technologies to incorporate cutting-edge solutions
• Apply deep expertise across a diverse tech stack including C#, Dotnet Core, Python, Angular JS, SQL Server, Docker, Kubernetes, and related technologies

Solution Architect

Compliance

• Contribute to the operation of the Compliance Regulatory Monitoring Framework through continuous improvement initiatives
• Support the monitoring of the global regulatory landscape to identify and triage in-scope regulations and regulatory changes relating to records management
• Perform quality assurance of regulatory assessments to maintain consistency across the Compliance function
• Collate management information on regulatory monitoring activities across the Compliance function

Compliance Analyst

Affiliate Manager

• Lead Partner Data Management and OpEx initiatives for Reinsurance Client Governance (RCG)
• Manage end-to-end PDM workflows within the defined KPIs and AML/ITC regulatory standards during onboarding
• Lead, coach, and develop a high-performing team responsible for Partner Data Management
• Build trusted partnerships with global stakeholders through transparency and strong governance
• Act as subject matter expert on AML/ITC risk and related regulatory topics
• Support automation and BOT initiatives across PDM, Alert Governance, and AML CDD
• Lead Alert Governance and AML/ITC process governance activities
• Ensure effective execution of ITC and AML screening, alert handling, and quality assurance
• Act as key contact for internal and external audits
• Ensure quality assessment of closed alerts and timely resolution of open alerts

Lead Partner Management – OpEx

Risk

• Challenge and advise 1st Line teams on risk identification, assessment, and control adequacy related to digital processes and data management
• Lead end-to-end risk reviews and thematic operational risk assessments across digital services, systems, or strategic technology projects
• Design and enhance Swiss Re’s Risk Control Framework by identifying and embedding key controls across the data lifecycle
• Monitor implementation of risk controls across business units and functions, gathering feedback to support continuous improvement
• Prepare & communicate risk dashboards, reports, and presentations for senior management and governance bodies, translating data management/governance risk insights into business-relevant recommendations
• Assess AI-related risks, ensuring alignment with applicable internal governance and external regulatory frameworks
• Engage regularly with senior stakeholders, promoting a strong risk culture and influencing data governance behaviour across the organisation

Senior Digital & Technology Risk Manager

Data Scientist

• Support the end-to-end delivery of AI products, including data engineering, visualization, machine learning, and model interpretation/monitoring
• Work with AI foundation models to develop innovative solutions for complex insurance challenges
• Actively contribute to knowledge sharing sessions, team events, hackathons, and other collaborative efforts
• Learn and apply data science techniques in a (re)insurance context
• Develop reusable toolboxes and solutions that can be leveraged across multiple projects