About One Acre Fund

Founded in 2006, One Acre Fund supplies 1 million smallholder farmers with the agricultural services they need to make their farms vastly more productive. Our 8,000+ team is drawn from diverse backgrounds and professions. With operations across six core countries in Africa, we make farmers more prosperous by providing quality farm supplies on credit, delivered within walking distance of farmers’ homes, and agricultural training to improve harvests. On average, the farmers we serve harvest 50 percent more food after working with One Acre Fund.To learn more about our work, take a look at our Why Work Here blog for more information.

About the role

As the Client Data Management Supervisor will be responsible for the daily reconciliation and discrepancy follow-up pieces of farmer repayments, ensuring strong system controls between Paybill statements, and the successful reporting of repayment performance

Note: The successful candidates will be offered a 10-months contract. The role is tenable in Zomba. Interested candidates must be willing to work in Zomba. One Acre Fund will provide support for employee relocation in-line with our internal relocation policy.

Job Description

1. Daily Repayment Reconciliation

• Reconcile daily Paybill repayment statements against transactions recorded in Fineract
• Verify that all farmer repayments are accurately captured in the system
• Investigate and flag discrepancies between Paybill statements and system records

2. Transaction Monitoring

• Identify missing, duplicated, or incorrectly posted repayment transactions
• Track and follow up on unresolved repayment discrepancies
• Maintain accurate reconciliation logs and supporting documentation

3. Data Quality Assurance

• Ensure repayment data integrity across operational systems
• Support cleaning and validation of repayment datasets
• Escalate anomalies or unusual transaction patterns to the Business Operations team
• Assist in maintaining repayment reconciliation trackers and dashboards

5. Operational Support

• Collaborate with operations and GCDM teams to resolve repayment issues
• Support process improvements related to repayment monitoring and reconciliation

Qualifications

• A minimum of Diploma in Statistics, Accounting, Finance, or a related quantitative field
• Strong numerical and analytical skills, with a keen eye for detail
• Experience working with large datasets and transaction records
• Strong proficiency in Excel or Google Sheets, particularly for reconciliation and data validation
• Ability to identify inconsistencies in financial or operational data

Additional skills that would be an advantage:

• Familiarity with data visualization or reporting tools
• Experience using Dataiku or other data processing platforms
• Experience with data collection or database systems
• Basic understanding of financial reconciliation processes

Timelines

Preferred Start Date:As soon as possible

Application Closing Date:18 March 2026.

• Reconcile daily Paybill repayment statements against transactions recorded in Fineract
• Verify that all farmer repayments are accurately captured in the system
• Investigate and flag discrepancies between Paybill statements and system records
• Identify missing, duplicated, or incorrectly posted repayment transactions
• Track and follow up on unresolved repayment discrepancies
• Maintain accurate reconciliation logs and supporting documentation
• Ensure repayment data integrity across operational systems
• Support cleaning and validation of repayment datasets
• Escalate anomalies or unusual transaction patterns to the Business Operations team
• Assist in maintaining repayment reconciliation trackers and dashboards
• Collaborate with operations and GCDM teams to resolve repayment issues
• Support process improvements related to repayment monitoring and reconciliation

• Strong numerical and analytical skills
• Keen eye for detail
• Experience working with large datasets and transaction records
• Strong proficiency in Excel or Google Sheets
• Ability to identify inconsistencies in financial or operational data
• Familiarity with data visualization or reporting tools
• Experience using Dataiku or other data processing platforms
• Experience with data collection or database systems
• Basic understanding of financial reconciliation processes

• Diploma in Statistics, Accounting, Finance, or a related quantitative field