Night-Shift Accounting Specialist (AP/AR/GL)

Nexus Recruitment Group; Taguig; On-site; PHP 279,000 - 424,000; Full time

Job summary

Nexus Recruitment Group is seeking detail-oriented Accounting Clerks to support finance functions in a shared services or enterprise accounting environment. The role focuses on accurate processing of financial transactions, documentation, and reconciliations across payables, receivables, and general accounting.

Night shift hours and onsite work in Taguig, Philippines are required. Ideal candidates are organized, process-driven, and comfortable handling high volumes of data.

Qualifications

• Bachelor's degree in Accounting or Finance (or currently pursuing).
• 12 years in accounting/finance support, preferably in shared services or BPO.
• Proficiency in Excel and data entry tools.

Responsibilities

• Process invoices, expense reports, receipts, and payments.
• Enter financial transactions accurately in the accounting system.
• Assist in bank reconciliations, GL postings, and journal entries.
• Verify vendor/customer accounts and support payments tracking.
• Maintain organized files and records of financial transactions.
• Support month-end/year-end close with required data.
• Collaborate with internal teams to resolve discrepancies.
• Follow internal controls and accounting standards.
• Assist in generating simple financial reports.
• Aid audit preparation with updated, accessible documents.

Skills

Excel

Data entry

Attention to detail

Communication

Teamwork

Night shift

On-site

Education

Bachelor's degree in Accounting or Finance

Tools

ERP Platforms

Job description

Nexus Recruitment Group is seeking detail-oriented Accounting Clerks to support finance functions in a shared services or enterprise accounting environment. The role focuses on accurate processing of financial transactions, documentation, and reconciliations across payables, receivables, and general accounting.

Night shift hours and onsite work in Taguig, Philippines are required. Ideal candidates are organized, process-driven, and comfortable handling high volumes of data.