Pricing Analyst

Our opportunity

**Junior Pricing Analyst with R

**We are looking for an Junior Pricing Analyst with R coding skills to join our Life Protection Unit (LPU) team, a global function providing guidance, oversight, and development advice for all Zurich’s life technical needs. The successful candidate will support a wider rollout of Experience Insights, to additional business units (BUs) and products.

Experience Insights investigates past claims and persistency, in our Life Protection business, to set appropriate assumptions for pricing future business. This technology enables LPU/BUs to perform their experience analysis using a modern Data Science (DS) platform, automate routine tasks, and develop more sophisticated analytics and greater collaboration with LPU. The platform is a key enabler for executing Zurich’s Life strategy.

Your role
As a Junior Pricing Analyst**, your main responsibilities will involve:** 

• Working in collaboration with actuaries to understand products, data, and methodology
• Working in collaboration with actuaries and data scientists (LPU & BUs) to develop R code for data preparation, ingestion and transformation
• Validating the implementation against any existing analysis for the relevant products
• Supporting LPU data scientists and Zurich’s Group Technology Office (GTO) team to align Azure tools with R code and to deploy new code into production
• Support implementation of RMarkdown/Power BI reports to document the data outputs and results and to support BUs in creating local best estimate basis reports
• Other ad-hoc tasks, such as reacting to business of the LPU in achieving the strategic goal of growing Protection business globally.  This may include building predictive models and supporting delivery change to the BU pricing models.

Your Skills and Experience

As a Junior Pricing Analyst, your skills and experience will ideally include:

• 1+ years’ experience of working in an actuarial or data science team and experience working in data/analytics
• Knowledge of insurance products, pricing, and experience analysis, preferably in life insurance is an advantage
• Actuarial training/education, or strong willingness to participate in actuarial tasks and to learn actuarial methods and practices is desirable
• University education (Master's degree) in financial mathematics, actuarial science, statistics, economics, quantitative methods, computer science or similar