Data Administrator (Finance)

Temp / Possibly to Perm

My Client provides a transparent cash management service to all their clients. The company provide this support to client’s varying from Private Individuals to Corporates and Charities. My client now wishes to recruit an Administration Team, offering the position of Data Administrator to an individual with previous administration experience within a banking, financial or professional services environment.

The ideal candidate will be confident, organised, self-motivated and with a mature outlook which recognises the importance of accurately reviewing and updating datasets. This includes updating financial rates and accompanying terms and conditions. It is therefore vital that individual possess both numerical accuracy and verbal critical skills. They will be able to work with large volumes of work and have an (ideally) advanced understanding of Microsoft Excel. Additionally, my Client is seeking an individual who has experience of updating and monitoring database records and creating, reviewing and monitoring data reports from a number of sources.

The role holder will be the main focal point for liaison with banks and building societies, analysing customers’ applications and identifying their interest rates and returns, accurately recording information to ensure that customer applications are processed in a timely manner.

Key Responsibilities:

· Deliver outstanding client service

· Liaise with Bank and Building Societies

· Checking, analysing and updating data on a daily basis

· Process and monitor customer documentation

· Completing administrative tasks accurately and maintaining agreed customer service standards.

Skills & Experience:

· Financial Services/ financial product experience

· Advanced level Excel skills

· Good organisation and administration skills

· Ability to be a team player

· Previous experience maintaining and updating databases

· Meticulous eye for detail and genuine understanding of the need for accuracy

· Ability to work with large volumes of data