Senior Management Accountant

Key responsibilities

• Submit all WPP group reporting submissions using ERP software (SAP BFC/Cartesis) and meet deadlines.
• Preparation of the monthly Flash Income Statement and Balance Sheet including commentary on all material variances.
• Oversee inter-company reconciliations with International offices, as well as requesting IC invoices to be raised (35 plus IC counterparties)
• Perform bank reconciliations in multiple currencies.
• Perform reconciliations from the general ledger to the management accounts.
• Assist with the budget and quarterly forecasts and help input into SAP BFC.
• Assist with the preparation of the Statutory Annual Accounts.
• Be a point of contact during internal and external audits.
• Maintenance of GL codes and BFC mapping.
• Approve coding for all invoices.
• Set up and maintain new Beneficiaries in our Finance System (MAS/Sage500).
• Ad hoc duties as required.

Skills and experience required

• Chartered Accountant with strong bookkeeping knowledge
• Experience of having worked for a medium/large size entity and comfortable with handling large volumes of data
• Experience of having worked in a strong controls’ environment is desirable
• Strong excel skills required
• Experience of Sage 500 and BFC/Cartesis, preferable but not essential
• Professional excellence: advanced written and verbal communication skills; strong attention to detail; high level of numeracy and accuracy.
• Proven planning and organisation skills, able to prioritise high volume workload and multitask as required.
• Teamwork: proactively provide assistance to teammates outside of regular day-to-day responsibilities.
• Time management: ability to assess, evaluate and prioritise tasks to ensure completion within given time frames.
• Presentation skills - ability to contribute to and deliver considered concise and relevant presentations to colleagues and clients.
• Complex data problem solving - simplification of complex problems into more basic elements, and resolution thereof; irregular problems; large data-sets; use of advanced data analysis techniques.