Reporting Line
\nMANAGER FORENSIC<\/p>\n
Location
\nTanzania Head Office<\/p>\n
Department
\nDEPARTMENT OF RISK AND COMPLIANCE<\/p>\n
Number of openings
\n1<\/p>\n
Job Purpose<\/p>\n
The Forensic Data Analytics supports the bank\u2019s internal investigations by analyzing transactional and operational data to detect and report potential fraud, misconduct, or regulatory breaches. This role is responsible for extracting and interpreting data from core systems to support forensic reviews and investigation, provide insight for corrective actions, and contribute to enhancing the bank\u2019s internal control environment.<\/p>\n
Principle Responsibilities<\/p>\n
Data Analytics & Investigations<\/p>\n
Extract, clean, and analyze data from core banking, digital, and operational systems to identify irregularities or suspicious behaviour.
\nApply forensic techniques to detect fraud patterns, internal abuse, policy violations, or breaches of procedure.
\nAssist in root cause analysis of identified anomalies, including reconstruction of timelines and user activity mapping.<\/p>\n
Investigation Support & Documentation<\/p>\n
Prepare data-supported findings, exhibits, and reports for use in internal reviews, disciplinary actions, or regulatory compliance submissions.
\nEnsure data integrity, confidentiality, and proper documentation standards are upheld throughout the investigation cycle.
\nMaintain structured audit trails and case documentation.<\/p>\n
Reporting & Visualization<\/p>\n
Develop investigation dashboards, visualizations, and reports using tools such as Power BI or Tableau.
\nTranslate technical analysis into simple, actionable insights for Forensic, Compliance, and Legal teams.<\/p>\n
Collaboration & Stakeholder Engagement<\/p>\n
Support joint investigations with Compliance, Internal Audit, Risk, Legal, and HR teams as required.
\nParticipate in interviews and data walkthroughs to support case evidence.<\/p>\n
Tools, Models & Controls<\/p>\n
Contribute to the development and refinement of fraud detection rules and case monitoring dashboards.
\nEngage IT, Data Management, and Security teams to enhance access to investigative datasets.
\nPropose process improvements for proactive fraud prevention and early detection.<\/p>\n
Qualifications Required<\/p>\n
Bachelor\u2019s Degree in Data Science, Computer Science, Statistics, or a related field.
\nMinimum 3 years of hands-on experience in data analysis, forensic audits, fraud analytics, or internal investigations, preferably within the banking or financial services sector.
\nProven ability to interpret complex datasets, including transactional logs, customer records, and system access logs.
\nStrong SQL skills (mandatory).
\nProficiency in Excel and at least one data analysis language\/tool: Python, R, or SAS.
\nExperience with BI\/reporting tools such as Power BI, Tableau, or QlikView.
\nFamiliarity with banking systems and financial data sources (e.g., core banking, e-channels, card systems).<\/p>\n
CRDB Commitment<\/p>\n
CRDB Bank is dedicated to upholding Sustainability and ESG practices and encourage applicants who share this commitment. The Bank also promotes an inclusive workplace, hence applications from women and individual with disabilities are encouraged.
\nIt is important to note that CRDB Bank does not charge any fees for the application or recruitment process, and any requests for payment should be disregarded as they do not represent the bank\u2019s practices.
\nRecruitment services
\nOnly Shortlisted Candidates will be Contacted.<\/p>\n
Deadline
\n2025-09-15<\/p>\n
Employment Terms
\nPERMANENT<\/p>\n
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