Data Science Actuarial Analyst

About The Role Support teams across Swiss Re in developing solutions to business-as-usual problems and help them reduce operational and model risks and be more efficient and responsive to change Develop data analytics solutions for Actuarial Control and the wider Risk Management Assist in the development of best practice guidance notes and in the development and delivery of training Masterclasses on related topics and in the facilitation of hands-on workshops Be involved in the collaboration with IT on digital infrastructure projects Be involved in the collaboration with Risk Control teams on model and digital governance topics You will be supported to further develop your actuarial and statistical/machine Learning, programming skills and develop a deep appreciation of how technology shapes our risk landscape! You will further develop your network and your communication and consultative skills through interaction and advisory with a wide range of stakeholders! About The Team The Model Development and Analytics Team has a mandate to Support the Atelier programme a Group-wide initiative which enables teams to combine their domain knowledge with programming, data science and communication skills in their daily work, Speed-up data analytics projects within Actuarial Control and across Risk Management The team's remit is global and spans across Life & Health and Property & Casualty reporting directly to the Group Chief Actuary, About You Desired skills: We are interested to hear from you even if you don't self-identify with all the skills listed below (but with demonstrable interest to grow in your developing areas) Modelling Understanding of the mathematical and statistical concepts underpinning actuarial & statistical modelling Experience in supporting the delivery of technical pricing, reserving or other modelling work and in preparing documentation for defending methodology to peer-reviewers and oversight teams Data Handling Familiarity with working on real-world client or internal data and understanding of data quality issues Experience in handling data programmatically using R or other programming interfaces Programming Experience or curiosity about programming with R you will need to develop strong R skills for this role Knowledge of computer science concepts and other languages or statistical environments Experience in building R packages, including code versioning (Git), documentation and testing Communication Excellent written and oral communication skills and proficiency in conveying complex concepts to senior, non-technical audiences Understanding of good visualisation principles and of the Grammar of Graphics framework Experience in reproducible communication frameworks such as R Markdown and Shiny Swiss Re Knowledge Understanding of Swiss Re business and financial reporting frameworks (e-g IFRS) Understanding of Swiss Re's Risk Management Framework Experience across Life & Health and Property & Casualty About Swiss Re Swiss Re is one of the worlds leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime We cover both Property & Casualty and Life & Health Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients This is possible thanks to the collaboration of more than 14,000 employees across the world, Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability, If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience, Keywords Reference Code: 133468