Reconciliations Specialist (Lending Operations)

Our Fintech client is seeking a Reconciliations Specialist to be a critical member of the Financial Operations team responsible for maintaining the integrity of loan portfolio data across all this role you will own the end-to-end reconciliation process resolve exceptions support escalated customer queries and work cross-functionally with Technology and Data Science teams to drive accuracy automation and continuous improvement.

What you will be doing:

• Execute daily end-to-end reconciliation of loan portfolios ensuring all positions are balanced and signed off within agreed SLAs.
• Perform detailed data validation to ensure accuracy completeness and consistency of data across multiple systems.
• Identify investigate and resolve reconciliation discrepancies in a timely manner maintaining a clear exceptions log and escalation trail.
• Manage the reconciliation of individual loan accounts including repayments interest calculations and fee adjustments.
• Act as subject matter expert for escalated customer queries relating to loan discrepancies providing clear and accurate resolution.
• Investigate and rectify complex or non-performing loan issues including interest discrepancies refunds and manual adjustments.
• Partner with the Technology team to resolve system discrepancies automate manual reconciliation processes and improve data feeds.
• Collaborate with Data Science to identify patterns in data exceptions enhance data quality and validate model-driven adjustments.

What you will need:

• 3 - 5 years experience in financial reconciliation within loan operations.
• Background in fintech microfinance or consumer lending environments.
• Demonstrated experience reconciling loan portfolios or financial accounts end-to-end.
• Strong knowledge of loan structures: principal interest accruals fees repayments and adjustments.
• Proficiency in Excel - including pivot tables VLOOKUP/XLOOKUP and data validation.
• Strong communication skills in English with French or Swahili being advantageous.
• Experience with SQL or data querying tools for extracting and validating large datasets.

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