OCS UK & Ireland is a leading facilities management company with a turnover of £1.7bn and 50,000+ colleagues. We deliver innovative, award-winning services to the public and private sectors and our mission is to make people and places the best they can be.
Working at OCS is more than just a job; it’s an amazing opportunity to begin or expand your career in Facilities Management. OCS has an ambition to become an ‘Employer of choice’ in our sector and is proud to invest in our colleague’s personal and professional development. OCS provides our colleagues with opportunities to gain qualifications through funded development programmes aligned to the knowledge, skills, and behaviours attached to their roles.
About The Role:
Job Overview
The Tax Accountant is a newly established role within our PE backed facilities management business. The successful individual will assist with annual tax compliance / reporting processes and contribute to various tax and finance projects. Additionally, the Tax Accountant will enhance the visibility of the tax department across the UK&I business, serving as a key point of contact for tax queries.
Role responsibilities:
Working with external advisers on the planning, preparation and filing of corporation tax returns for all UK entities
Support on tax related audit queries
Assist with integration and onboarding of newly acquired companies
Partner with the business and respond to internal tax and VAT queries
Maintain accurate records of tax filings and payments
Reconciliation of corporate tax charges and withholding tax deductions suffered in the UK
Ensure all tax-related documentation is properly organised and easily accessible
Assist in the development and implementation of tax policies and procedures
Support tax and finance teams on ad-hoc projects
About you:
Ideally, you are ACA/ACCA and/or CTA qualified with experience in UK corporate tax matters and some tax accounting exposure
Strong organisational, communication and time management skills
Proficient with Excel and experienced working with large volumes of data