General Ledger Accountant

What You Will Do:

• Perform month-end and year-end closing for management reporting and statutory compliance under SFRS
• Prepare monthly P&L, balance sheet, and supporting balance sheet schedules with transaction-level movement analysis
• Post month-end closing journal entries, including accruals, prepayments, FX revaluation, and provisions
• Perform monthly bank reconciliations across multiple currencies and entities
• Perform intercompany transaction reconciliation and follow up on unmatched items with regional counterparts
• Assist in preparing and submitting quarterly GST returns, annual corporate income tax filing, withholding tax, and related schedules
• Prepare audit schedules and liaise with external auditors, tax agents, and corporate secretary
• Support process improvement and finance automation initiatives — including reviewing reconciliation logic, validating system-generated journals, and identifying areas where AI / scripting tools can reduce manual effort
• Perform other ad-hoc duties as assigned

What We Are Looking For:

• Minimum Degree in Accountancy, ACCA, or equivalent professional qualification
• More than 2 years of relevant experience handling a full set of accounts, preferably in gaming, internet, or high-tech industry
• Solid working knowledge of Singapore GST, corporate tax, and SFR
• SStrong Excel skills (pivot tables, lookups, large-dataset handling) and hands-on experience with ERP / accounting systems (e.g. NetSuite, SAP, Oracle)
• Good analytical skills, attention to detail, and ownership mindset
• Able to work independently in a fast-paced, cross-border environment
• Comfortable working bilingually in English and Mandarin (to liaise with HQ and regional finance teams)
• Able to work onsite fully

Nice to Have (AI / Automation Edge)

• Familiarity with SQL for querying transaction-level data, or willingness to learn
• Hands-on experience using AI tools
• Exposure to Python / Power Query / Airflow / RPA tools for finance automation
• Understanding of how LLMs can be applied to finance workflows (e.g. anomaly detection in journals, automated variance commentary, statement parsing) — even at a conceptual level