R Modeller/Developer

at  Hymans Robertson LLP

This is a fantastic opportunity to play a pivotal role within our firm, with a focus on building sustainable software that drives our business. We invest in the latest technologies to facilitate the delivery of our ground-breaking business solutions. Our teams are passionate about technology, work with cutting-edge tech and adopt an agile approach to software development.

We are looking for an R Developer with financial modelling experience to help design, build, deliver, and support models & applications serving the pensions market. You will:

• Work alongside high-performing, highly skilled and multi-disciplinary teams. We work within teams that promote autonomy and engineering excellence, using the latest technologies.
• Drive innovation and increase the maturity of our frameworks, integrations, and automations.
• Collaborate closely with senior developers, architects, and actuarial modellers to deliver sustainable solutions that deliver value for our business.
• Be involved with meaningful work - we can provide complex challenges, at scale, in novel market areas.
• Be core to the product teams that build, test and scale our applications and services.
• Work closely with our R User and Model Expert Groups to promote best practices.
• Support less experienced team members with R development.

YOU WILL HAVE EXPERIENCE OF THE FOLLOWING:

• Strong pensions domain knowledge gained in an actuarial context essential
• R Programming (ideally in the context of package development)
• Tidyverse (i.e. dplyr, purrr, tidyr)
• Git and general code-management / documentation practices
• Continuous improvement and continuous delivery practices
• R Shiny & R Markdown

IN ADDITION, YOU MAY HAVE EXPERIENCE OF SOME OF THE FOLLOWING:

• Automated build and deployment pipelines
• Automated test frameworks
• Accessing external APIs via R (particularly through httr/httr2)

• Modern software development best practices from initial problem and data analysis, through to solution design and technical implementation.
• Non-functional aspects of software delivery such as performance, reliability, security, and scalability.
• Financial modelling (pensions domain beneficial).
• Applying coding and technical solutions to complex financial scenarios.
• End-to-end implementation of R solution