Pretoria: Financial Crime Data Operations Specialist

Job Profile Summary  To engage and support data operations activities within the respective Financial Crime Operational related areas by executing routine data management tasks, ensuring data accuracy, and supporting broader Financial Crime regulatory data processes within a corporate and investment banking (CIB) environment. Assist in data monitoring, validation, reconciliation, reporting and support processes to ensure the reliability of data inputs and outputs for business applications.  Job Description Monitor execution of daily data processing tasks, including data extraction, transformation, and loading to support business functions. Validate data sets to ensure accuracy and completeness before processing and reporting. Assist in reconciling data discrepancies by liaising with relevant teams to investigate and correct issues. Manage and track data requests from internal stakeholders, ensuring accurate and timely data delivery. Participate in testing and validation of new data feeds or system enhancements, reporting issues as identified. Update and maintain data process documentation to ensure compliance and process clarity. Monitor data flows and escalate any interruptions or irregularities to senior team members. Conduct data clean-up activities as directed, ensuring database integrity across all operational areas. Run reports to verify data integrity and support audit requirements within the data operations function. Support the development of automated scripts and macros for repetitive tasks. Analyse routine data processing issues and propose initial solutions or improvements. Assist in providing data extracts and files to downstream applications or external stakeholders as required. Ensure all processed data complies with regulatory and organisational standards. Collaborate with IT support and/or other stakeholders to resolve basic system issues that impact data quality. Contribute to ongoing data governance initiatives by adhering to best practices for data handling and storage. Continuously seek ways to improve data processes and workflows. Work collaboratively with team members to deliver high-quality, accurate data outputs. Promote and apply data governance and best practice principles in all tasks. Participate in training sessions to enhance data operations knowledge and skills. Demonstrate a proactive approach to identifying and solving minor data issues. Qualifications: Diploma in Data Management, Information Systems, or a related field. Preferred qualification: Bachelor’s Degree in Risk or Compliance Management with ACAMS Certification  Experience and Skills 3 to 5 years of experience in a Financial Crime Data environment 3 to 5 years of experience in financial services, with a focus on Anti-Money Laundering and/or Financial crime environment Basic SQL, MS Excel proficiency, data validation techniques, basic understanding of data quality principles.