Senior Customer Data Quality Officer

A. Data Quality Control & MonitoringMonitor daily customer data across Core Banking and Neo Banking systemsIdentify and flag:Missing or incomplete KYC dataDuplicate customer recordsIncorrect or inconsistent customer/loan informationPerform structured daily, weekly, and monthly data quality checksMaintain data quality logs and audit trailsB. Data Reconciliation (Core vs. Neo Platform)Ensure full alignment between:Core Banking SystemDigital/Neo Banking PlatformInvestigate and resolve:Data mismatchesTransaction inconsistenciesMaintain reconciliation reports and exception tracking logsC. Exception & Error ManagementDevelop and manage exception reporting frameworksTrack and resolve:Data entry errorsSystem integration gapsCustomer profile inconsistenciesEnsure timely closure of identified issuesEscalate critical risks and systemic issues immediatelyD. Data Integrity & Fraud PreventionDetect and investigate suspicious patterns such as:Multiple accounts under a single identityFake, incomplete, or manipulated customer dataCollaborate with Risk & Compliance teams on fraud detection and investigationsStrengthen preventive controls to reduce data-related fraud risksE. Process Control & Continuous ImprovementDesign and implement robust data quality control proceduresRecommend enhancements to:Customer onboarding processesData capture and validation mechanismsSystem controls and workflowsSupport automation of data validation and reconciliation processesF. Reporting & Dash boardingPrepare daily, weekly, and monthly data quality reportsMonitor and report key metrics such as:Data error rateDuplicate record rateData completeness ratioReconciliation variance rateProvide actionable insights to management for operational and strategic decisionsG. Training & EnforcementTrain operational teams (DLOs, onboarding staff) on:Data entry standardsKYC compliance requirementsEnforce adherence to data quality policies and SOPsPromote a strong data ownership culture across teams

A. Data Quality Control & Monitoring Monitor daily customer data across Core Banking and Neo Banking systems Identify and flag: Missing or incomplete KYC data Duplicate customer records Incorrect or inconsistent customer/loan information Perform structured daily, weekly, and monthly data quality checks Maintain data quality logs and audit trails B. Data Reconciliation (Core vs. Neo Platform) Ensure full alignment between: Core Banking System Digital/Neo Banking Platform Investigate and resolve: Data mismatches Transaction inconsistencies Maintain reconciliation reports and exception tracking logs C. Exception & Error Management Develop and manage exception reporting frameworks Track and resolve: Data entry errors System integration gaps Customer profile inconsistencies Ensure timely closure of identified issues Escalate critical risks and systemic issues immediately D. Data Integrity & Fraud Prevention Detect and investigate suspicious patterns such as: Multiple accounts under a single identity Fake, incomplete, or manipulated customer data Collaborate with Risk & Compliance teams on fraud detection and investigations Strengthen preventive controls to reduce data-related fraud risks E. Process Control & Continuous Improvement Design and implement robust data quality control procedures Recommend enhancements to: Customer onboarding processes Data capture and validation mechanisms System controls and workflows Support automation of data validation and reconciliation processes F. Reporting & Dash boarding Prepare daily, weekly, and monthly data quality reports Monitor and report key metrics such as: Data error rate Duplicate record rate Data completeness ratio Reconciliation variance rate Provide actionable insights to management for operational and strategic decisions G. Training & Enforcement Train operational teams (DLOs, onboarding staff) on: Data entry standards KYC compliance requirements Enforce adherence to data quality policies and SOPs Promote a strong data ownership culture across teams