Responsibilities
- Develop and maintain an end-to-end architectural understanding of Finance data flows, including actuarial and risk systems.
- Identify optimization opportunities across data flows, transformation logic, controls, platforms, and delivery processes.
- Translate business and technology needs into clear, pragmatic solution designs.
- Partner with engineering teams to validate assumptions, remove ambiguity, and ensure architectural decisions are implemented effectively.
- Work with product owners and business stakeholders on finance processes, reporting needs, controls, and data quality expectations.
- Design scalable, resilient, and governed solutions for data ingestion, transformation, validation, lineage, and consumption.
- Assess solution options and communicate recommendations, dependencies, risks, and architectural trade-offs.
- Promote automation, observability, reusability, documentation, and evidence-based architecture practices.
- Use real data, process insight, and stakeholder feedback to validate solution outcomes.
- Bridge business, architecture, product, and engineering teams throughout delivery.
Requirements
- At least 6 years of relevant hands-on experience in architecture, solution design, or engineering within financial services.
- Hands-on software development lifecycle experience and a track record of working closely with engineering teams.
- Strong understanding of data models, data flows, transformation logic, data quality, lineage, controls, reporting, analytics, and downstream applications.
- Ability to understand complex business and technology landscapes and turn ambiguity into clear direction.
- Ability to explain problems, options, trade-offs, and recommendations through diagrams, structured thinking, questions, and concise documentation.
- Ability to move between strategic architecture and detailed solution design, including interfaces, controls, data flows, transformation logic, and implementation details.
- Experience applying AI tooling effectively and appropriately to improve analysis, design, documentation, collaboration, or delivery.
- Excellent written and spoken English communication skills.
- Bachelor’s degree or higher in Computer Science, Software Engineering, or a related technical discipline.
- Preferably experience with Apache Spark, Python, SQL, and Databricks.
- Experience with Microsoft Azure and integration with SAP financial systems is an additional advantage.
Benefits
- Hybrid work arrangement; the listed role is 80–100%.
- Base salary in Switzerland ranges from CHF 128,000 to CHF 192,000 for a full-time role.
- Performance-based variable compensation is offered in addition to base salary.
- Global and location-specific benefits are available.
- Swiss Re provides an inclusive and flexible workplace with professional development opportunities.
Tech Stack
Categories
About Swiss Re
The Swiss Re Group is a leading wholesale provider of reinsurance, insurance and other insurance-based forms of risk transfer. Dealing direct and working through brokers, its global client base consists of insurance companies, mid-to-large-sized corporations and public sector clients. From standard products to tailor-made coverage across all lines of business, Swiss Re deploys its capital strength, expertise and innovation power to enable the risk taking upon which enterprise and progress in society depend. Founded in Zurich, Switzerland, in 1863, Swiss Re serves clients through a network of over 70 offices globally and is rated "AA-" by Standard & Poor's, "Aa3" by Moody's and "A+" by A.M. Best. Registered shares in the Swiss Re Group holding company, Swiss Re Ltd, are listed in accordance with the Main Standard on the SIX Swiss Exchange and trade under the symbol SREN. We're smarter together. For more information about Swiss Re Group, please visit: www.swissre.com, follow us on X @SwissRe and subscribe our YouTube channel @swissretv.