Posted:2 months ago| Platform:
Work from Office
Full Time
We are looking for a Data analyst who will be part of the Cignas European Actuarial Reserving team. The responsibility includes producing the data for various Analysis and Reporting tasks of the Reserving team. She/He will also play a key role in developing new process and implementing new database tools to enable the team to apply modern Reserving techniques (including Machine Learning Techniques). The role requires working closely with various teams including Pricing, Underwriting, Claims, Accounting and IT. This a fantastic opportunity for someone who is eager to learn. As our clients are spread across the globe, this opportunity provides an exposure to various markets across different countries. The role offers a flexible working environment. Our European offices are based in Antwerp and Glasgow, but we also offer a work from home option. The work from home can be anywhere in the following countries: UK, Belgium, Spain, and India The role The Actuarial Reserving team are responsible for: Regular Reporting BEGAAP, USGAAP, Solvency II. The Reporting happens on monthly, quarterly and annual basis Experience study Regular analysis of experience for Medical and Non-medical business Risk capital model Provide the necessary data for Risk model parameter calibration Business planning Provide necessary input for the Planning exercise The Data Analyst would support the Senior Actuaries in the team to complete the above tasks. The tasks generally would include: Extract the data in required format to input in to the above listed teams tasks Continuously improve the data extraction process and support in implementing new technology Support any ad-hoc Business requirements Data cleansing and validation Create/update the data dictionary Support in producing Data quality/preparation reports The Requirements High level of numerical and analytical skills Ability to investigate data issues Willingness to learn and develop Graduate in Mathematics or any equivalent subject MS Office (Excel and Access), VBA Experience in SAS/SQL, R, Python, or any data oriented programming language would be an advantage This role does not require an Actuarial qualification or any Actuarial exam passes.
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