Ledger and reconciliation AI Expert

Role Description

We are seeking a detail-oriented and analytically driven Ledger & Reconciliation AI Expert to join our finance and data transformation team. This role sits at the intersection of accounting, data analytics, and emerging AI technologies, focusing on improving the accuracy, efficiency, and scalability of financial processes.

• Manage and optimize end-to-end account reconciliation processes.
• Ensure the integrity and accuracy of financial records across systems.
• Perform detailed account reconciliations, identifying discrepancies, and conducting variance analysis to highlight trends, anomalies, and potential risks.
• Automate reconciliation workflows using AI tools to reduce manual intervention and improve turnaround time.
• Handle intercompany transactions and eliminations, ensuring accurate recording, reconciliation, and elimination of intercompany balances in compliance with accounting standards.
• Collaborate with cross-functional teams across geographies to resolve mismatches and ensure timely closure of books.
• Contribute to the design, structuring, and ongoing maintenance of the chart of accounts.
• Align account hierarchies with reporting requirements and ensure consistency across business units.
• Leverage AI and data tools to enhance account mapping, classification, and reporting accuracy.

The role requires a forward-thinking mindset to integrate AI into traditional accounting functions.

• Evaluate, implement, and optimize AI-powered reconciliation tools, anomaly detection systems, and financial data models.
• Focus on improving data quality, automating repetitive tasks, and enabling predictive insights for finance teams.

Qualifications

• Bachelor’s degree in Accounting, Finance, or a related field; CA or equivalent qualification preferred.
• 2–8 years of experience in ledger management, reconciliations, or financial controllership.
• Strong expertise in account reconciliations and variance analysis.
• Hands-on experience with intercompany accounting and eliminations.
• Deep understanding of chart of accounts design and governance.
• Familiarity with ERP systems (e.g., SAP, Oracle, NetSuite) and reconciliation tools.
• Exposure to AI/ML-based finance tools or automation platforms is highly desirable.
• Strong analytical thinking, attention to detail, and problem-solving skills.

Requirements

• Deliver highly accurate financial records.
• Significantly reduce reconciliation timelines through automation.
• Proactively identify discrepancies before they impact reporting.
• Act as a bridge between finance and technology to drive smarter, faster, and more reliable financial operations.