What you will do

The squaRE team develops and operates analytical components, statistical engines, and data-driven services that support Munich Re’s global reserving and actuarial processes. We are seeking a skilled Software Engineer with strong experience in R and Python development, a passion for writing clean and robust analytical code, and the ability to translate complex actuarial or statistical requirements into reliable production solutions. You will join our product team located across Germany and Poland and contribute to the engineering excellence of our application.

How you will get the job done

• developing and maintaining high‑quality R and Python applications, libraries, and services for reserving and actuarial workflows
• defining and continuously evolving R coding standards, best practices, and development guidelines to ensure consistent, maintainable, and testable code across squaRE
• improving performance, stability, and code quality of existing R and Python modules through refactoring, testing, documentation, and engineering best practices
• implementing and supporting API‑based services and integration endpoints for internal modelling platforms
• designing scalable, modular software architectures for analytical engines to ensure long‑term reliability and maintainability
• contributing to CI/CD pipelines, automated testing frameworks, and deployment workflows
• working closely with actuaries and modelling specialists to translate mathematical and statistical requirements into robust production code

What we offer

Let's be healthy – medical package, sports card, and numerous sports sections – these are some of the benefits that help our employees stay in good shape.

Let's be balanced – work-life balance is a key aspect of a healthy workplace. We offer our employees flexible working hours, a confidential employee assistant program, as well as the possibility of remote working. However, staying at home with our in-office gaming room and dog-friendly office in Warsaw won’t be easy.

Let's be smart – we organize numerous workshops and training courses. Thanks to hackathons and meetups, our specialists share their expertise with others. Additionally, we have a wide range of digital learning platforms and language courses.

Let's be responsible – each year, we participate in several CSR activities, during which, together with our colleagues, we do our best to create a better future.

Let's be fun – company-wide bike races and soccer matches, film marathons in our cinema room or other engaging team-building activities – we got it covered!

Let's be diverse – every team member is valued, regardless of gender, nationality, religious beliefs, disability, age, and sexual orientation or identity. Your qualifications, experience, and mindset are our greatest benefit!

Requirements

• university degree in computer science, mathematics, statistics, or a related field
• 5+ years of experience in software engineering or analytical systems development
• deep expertise in R and Python, including R package development, development standards, code structuring, testing practices, and performance optimization
• demonstrated ability to define and maintain coding standards and development guidelines, especially for R‑based analytical systems
• experience designing and maintaining API-based services, especially R APIs, supported by strong software architecture and modular design skills
• proficient in CI/CD practices, automated testing, and version control tools such as Azure DevOps or Git
• experience working in cloud-based or hybrid environments and familiarity with containerization (Docker, Kubernetes) is a plus
• ability to translate mathematical, statistical, or actuarial concepts into robust, maintainable software components
• previous knowledge in the (re-)insurance sector is preferred but not required
• strong analytical, problem‑solving, and service‑oriented communication skills, with the ability to collaborate effectively in global, cross‑disciplinary teams
• proactive and self‑driven working style, taking end‑to‑end ownership of components and independently identifying and proposing solutions