Data Science Actuarial Analyst

About the Role 

You will be working on various model development and data analytics projects in collaboration with other teams whilst developing further your technical and professional skills. 

You will also collaborate with colleagues within Risk Management and across Swiss Re in helping to shape the way we improve Risk Management's ability to provide oversight of digital risk. 

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 

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: 

1. 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 

2. 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: 

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 

Other comments: 

The role will be offered as a Data Science Actuarial Analyst, either at F1 or F2 band depending on level of experience, skillset, and progress towards professional fellowship qualification.