Job Detail

Zurich, ZH, CH

Casualty R&D Quant Developer Support - temporary 50%Job 

About Swiss Re

The Swiss Re Group is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. It anticipates and manages risk – from natural catastrophes to climate change, from ageing populations to cybercrime. The aim of the Swiss Re Group is to enable society to thrive and progress, creating new opportunities and solutions for its clients. Headquartered in Zurich, Switzerland, where it was founded in 1863, the Swiss Re Group operates through a network of around 80 offices globally. It is organised into three Business Units, each with a distinct strategy and set of objectives contributing to the Group’s overall mission.

About the Role

We are looking for a temporary employee to support the Casualty Research & Development department (Casualty R&D). We will need support for 6 months, 2-3 days/week, starting from May/June 2019.

The main responsibilities will be:

• Quality assurance/testing: Support the team in ensuring quality of new modelling and tool features. Preparation of tests, their execution and analysis, including improvements to the testing framework.


• Support on improving and extending our existing model and its current implementation, including the design and execution of agile prototypes.


• Other tasks in the many areas where the department operates, depending on candidate's background and interests

About the Team

Casualty R&D is a department within Group Underwriting. The team is driving an industry-wide paradigm shift from backward-looking to forward-looking modelling in casualty, going beyond traditional predictive models. The forward-looking model framework (Liability Risk Drivers™) is designed to provide unprecedented costing accuracy and risk transparency. It also allows portfolio steering, including accumulation control across casualty lines.

About You

• Quantitative background: Computer science, actuarial science, natural sciences, mathematics, engineering or econometrics.


• Solid coding experience and analytical skills: Preferably R and data acquisition tools such as SQL.


• You are eager to learn and are willing to expand your personal toolkit in a dedicated way.


• Drive to support the creation of structured and scalable software with a very pragmatic approach: Build on existing work, updating and complementing it when necessary.


• Ability to collaborate with people with different profiles and backgrounds.


• Team spirit, interpersonal and communications skills


• Fluency in English is required

We are an equal opportunity employer and value diversity at our company. We offer flexible working options to provide you greater autonomy to decide how, when and where to carry out your tasks.

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Reference Code: 84636