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Salary
$200k – $240k per year
Location
Remote (United States, France, United Kingdom, Canada, Portugal)
Seniority
Senior
Employment
Part-Time
Overview
Company
Impact
Profile match
Weekday is an Indian recruitment company that sources software engineers through referrals from other engineers rather than through job advertisements or agency databases. Its model pays working engineers to vouch for former colleagues they rate, turning informal knowledge about who is genuinely good into a searchable candidate pool that companies can hire from. Based in Bengaluru and backed by Y Combinator, the platform has layered AI screening and outbound sourcing on top of that referral network, and sells to startups and technology companies hiring in the Indian market.

This role is for one of our clients

Compensation: $100-$120 per hour (20 hours per week commitment)

Job Type: Part-time / Contract

Location: US, UK, Canada, France, Portugal (remote)

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.

Requirements

Key Responsibilities

You will be responsible for managing and optimizing end-to-end account reconciliation processes, ensuring the integrity and accuracy of financial records across systems. This includes performing detailed account reconciliations, identifying discrepancies, and conducting variance analysis to highlight trends, anomalies, and potential risks. You will play a key role in automating reconciliation workflows using AI tools, reducing manual intervention, and improving turnaround time.

A significant aspect of the role involves handling intercompany transactions and eliminations. You will ensure accurate recording, reconciliation, and elimination of intercompany balances in compliance with accounting standards. Collaboration with cross-functional teams across geographies will be essential to resolve mismatches and ensure timely closure of books.

You will also contribute to the design, structuring, and ongoing maintenance of the chart of accounts. This includes aligning account hierarchies with reporting requirements, ensuring consistency across business units, and supporting scalability as the organization grows. Leveraging AI and data tools, you will help enhance account mapping, classification, and reporting accuracy.

AI & Process Optimization

The role requires a forward-thinking mindset to integrate AI into traditional accounting functions. You will evaluate, implement, and optimize AI-powered reconciliation tools, anomaly detection systems, and financial data models. Your work will focus on improving data quality, automating repetitive tasks, and enabling predictive insights for finance teams.

Qualifications & Skills

  • 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.

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