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Ledger and reconciliation AI Expert @Weekday
Finance
Salary ₹4,000 - ₹6,500
Remote Location
Job Type part-time
Posted 3d ago

[Hiring] Ledger and reconciliation AI Expert @Weekday

3d ago - Weekday is hiring a remote Ledger and reconciliation AI Expert. 💸 Salary: ₹4,000 - ₹6,500 📍Location: India

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. The ideal candidate will bring strong expertise in ledger management, reconciliation practices, and financial data structures, while leveraging AI-driven tools to streamline workflows and enhance decision-making.

Key Responsibilities

  • Manage and optimize end-to-end account reconciliation processes, ensuring the integrity and accuracy of financial records across systems.
  • Perform detailed account reconciliations, identify discrepancies, and conduct variance analysis to highlight trends, anomalies, and potential risks.
  • Automate reconciliation workflows using AI tools, reducing manual intervention and improving 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, aligning account hierarchies with reporting requirements.
  • Enhance account mapping, classification, and reporting accuracy using AI and data tools.
  • 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.

What Success Looks Like

Success in this role means delivering highly accurate financial records, significantly reducing reconciliation timelines through automation, and proactively identifying discrepancies before they impact reporting. You will act as a bridge between finance and technology, driving smarter, faster, and more reliable financial operations.

Compensation

  • Rs. 6500 per hour (20 hours per week commitment).
  • Job Type: Part-time / Contract.
  • ₹4,000 - ₹6,500 an hour.

Hiring Process

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Before You Apply
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Back to Remote jobs  >   Finance
Ledger and reconciliation AI Expert @Weekday
Finance
Salary ₹4,000 - ₹6,500
Remote Location
Job Type part-time
Posted 3d ago
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remote Be aware of the location restriction for this remote position: India
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
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Applied
Sent Follow-Up
Interview Scheduled
Interview Completed
Offer Accepted
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