Are you looking to build your career within a fast-paced finance environment?My client is looking for a highly organised and detail-focused Senior Finance Administrator to join their finance team.Benefits:

• Hybrid working
• Annual leave – 25 days plus 8 Bank holidays
• Death In Service – 4 x annual salary
• Group income protection
• Pension - 12% employer contribution
• Performance related pay and bonus
• Health shield cash plan

This is a great opportunity for someone who enjoys working with financial data, solving problems, and contributing to the efficient delivery of financial services within a professional services environment.As a Senior Finance Administrator, you will play an important role in supporting core financial processes and ensuring transactions are managed accurately and efficiently. Your responsibilities will include:

• Managing the day-to-day administration of the contributions collection process, including monitoring clearance accounts and investigating outstanding items.
• Setting up ad hoc payments and account transfers within the banking platform for authorisation.
• Handling and resolving queries from both internal stakeholders and external clients.
• Overseeing payments to ensure transactions are correctly allocated
• Producing cash management reports to identify potential shortfalls
• Supporting month-end financial activities, including preparing accruals and completing balance sheet reconciliations.
• Assisting the wider Finance team with operational tasks and contributing to ongoing finance projects and improvements.

Essential:

• Experience managing high-volume financial transactions
• A background in transactional accounting, including bank reconciliations, purchase ledger, or sales ledger activities.
• Experience setting up UK and international payments and processing account transfers through banking systems.
• Strong analytical skills with the ability to identify discrepancies and investigate variances.
• Intermediate Excel skills, including the ability to work confidently with large datasets.