#108 Swiss Re – Data Science Actuarial Analyst
Swiss Re
Your Main Responsibilities Will Be The Following
- 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
About You
Essentials: Personal leadership qualities
Passion for data, analytics, programming and an interest in emerging technologies
Passion to continuously learn, share knowledge, and develop others
Ability to consult and deliver high quality output to the stakeholder’s specification
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