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About the role
As a Senior R Developer, youll be the driving force behind our LeapVerse R modules, creating robust solutions that empower actuaries across Swiss Re to perform sophisticated Experience Studies. Youll collaborate with cross-functional teams to translate business requirements into efficient, scalable code that meets the evolving needs of our organization. Key Responsibilities Design and develop functionality in LeapVerse R modules based on requirements from the ESP/LeapVerse team Analyze impact of proposed changes and present detailed design notes on implementation approaches Build and maintain comprehensive test suites ensuring code quality and reliability Knowledge sharing with the broader ESP/LeapVerse community through documentation and training Support and guide LeapVerse R users in their development of Experience Studies Demonstrate solutions through code walk-throughs and technical presentations Review code of team members via pull-requests (PRs) and provide constructive feedback for improvement About the Team The ESP/LeapVerse team is at the forefront of developing sophisticated analytical tools that power Swiss Res actuarial capabilities. Our team combines technical expertise with insurance domain knowledge to create innovative solutions that transform how experience studies are conducted across the organization. We work in a collaborative environment where knowledge sharing and continuous improvement are fundamental to our success. About You Youre a problem-solver at heart with a passion for clean, efficient code. You thrive in collaborative environments where you can apply your technical expertise to solve complex business challenges. Your attention to detail and analytical mindset allow you to create robust solutions, while your communication skills enable you to explain technical concepts to diverse audiences. We are looking for candidates who meet these requirements: Advanced R programming skills with recent relevant experience (12-24 months), particularly with packages like tidyverse, dplyr, data.table, dtplyr, Rcpp, and RShiny Experience building production-grade R Shiny applications (version controlled, with unit and functional tests, in packaged format) Strong data science and analytical skills with the ability to translate complex requirements into efficient code Demonstrated ability to maintain existing solutions while implementing new features Experience working in Agile environments with strong coordination and communication skills Experience using Posit commercial products: Posit Workbench, Posit Connect, and Posit Package Manager These are additional nice to haves: Expertise in performance optimization of R code using dtplyr, data.table, Rcpp, or cpp11 Experience deploying R solutions using CI/CD pipelines and cloud providers (e.g., Azure DevOps) R package development and testing experience (testthat, shinytest2) Technical leadership experience guiding other R developers Experience with different object-oriented systems in R (S3, S4, R6) Knowledge of Life & Health insurance actuarial concepts
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