Analyst, Data Central Pricing & Analytics
As a fast growing Shared Service Centre (SSC), we are looking for a Pricing Analyst in our Pricing Data Team (PDT), to support our Pricing and Analytics function.
This role enables XL Catlin to provide accurate pricing of risks. As a Pricing Analyst you will be responsible for identifying, gathering and cleansing structured and unstructured data from internal and external data sources. Your duties will include capturing, profiling and manipulating data and supporting further analysis by colleagues in the Pricing and Analytics team.
For the right person this is a fantastic opportunity to flourish within an internationally respected, fast growing insurance company.
What will your essential responsibilities include?
- Reading and interpreting information from various sources, such as submissions presented by brokers and clients, and the internet, and accurately entering all relevant data into databases.
- Researching and documenting external sources of structured and unstructured data.
- Ensuring the data quality is up to the appropriate standard; all data to be processed accurately and efficiently.
- Ensuring relevant parties are kept informed of progression of the work undertaken.
- Ensuring processes, procedures and Service Level Agreements are met and adhered to.
You will report to the Pricing Data Projects Manager and the Operational Services Manager.
SHARE your talent
- University degree, preferably in a numerate subject like Mathematics, Finance, Economics, Accounting or Computer Science.
- A detail oriented approach with a focus on accuracy coupled with an appreciation of the need for pragmatism in a commercial environment.
- Inquisitive mind with strong analytical skills. Often, data sources will not be obvious and will require self-initiative and subjective interpretation. It is therefore necessary to understand the overall intention of a particular project, in order to ensure data sources are not missed and captured data are relevant, comprehensive and consistent.
- Experience of using a number of data sources and data extraction techniques is desirable e.g. SQL, Web APIs, Web Scraping.
- MS Excel will be heavily used so an advanced knowledge of Excel is desirable. Experience with statistical computing software and visualization tools would be an advantage.
- Fluency in English, both spoken and written, is essential. Additional languages are desirable.
- Good organizational skills and time management.
- Excellent people skills; communicative and open to new challenges. Must be happy to work as part of a team.
