Forensic Data Analyst
Summary
At Britam in Nairobi, the Forensic Data Analyst collects, preserves and analyzes transactional, operational and digital data to detect fraud, financial crime and compliance issues; builds and tunes continuous fraud-monitoring rules; and turns findings into reports, dashboards and legally defensible evidence for investigations, litigation and regulators, using SQL, Python and R.
Job Purpose\:
The Forensic Data Analyst collects, preserves and analyses complex transactional, operational and digital data to detect fraud, financial crime, regulatory non-compliance and control weaknesses. The role converts digital evidence into clear, reliable and legally defensible intelligence for investigations, management decisions, litigation and regulatory engagement.
Value to the Group\: Timely, accurate and well-governed analytics that strengthen fraud detection, accelerate investigations, quantify exposure, support recovery and improve preventive controls across the Group.
Key Responsibilities\:
1. Data Acquisition, Extraction & Preservation
• Acquire data securely from enterprise systems, databases, cloud platforms and email environments in accordance with legal authority, privacy requirements and evidentiary standards.
• Apply appropriate forensic extraction methods, maintain chain of custody, validate completeness and accuracy, and document data-quality limitations.
• Prepare structured and unstructured datasets through indexing, deduplication, normalization and other appropriate processing techniques.
2. Investigation Analysis & Anomaly Detection
• Translate investigation objectives into analytical questions, data requirements and testable hypotheses.
• Use SQL, Python, R and forensic tools to identify anomalies, hidden patterns, duplicate or irregular transactions, manipulation and behavioral fraud indicators.
• Perform statistical, link, network, log, metadata and audit-trail analysis and develop transaction flows, timelines and event chronologies.
3. Forensic Continuous Monitoring
• Design, document and maintain the annual fraud-detection and continuous monitoring programme.
• Develop, test, tune and govern rules and use cases, including thresholds, data inputs, exclusions, ownership, review frequency and expected outcomes.
• Triage alerts and exceptions, monitor rule performance, reduce false positives and maintain an auditable repository of scripts, logic, validation evidence and version history.
4. Reporting, Visualization & Litigation Support
• Translate complex findings into clear reports and non-technical narratives for management, legal counsel, regulators and law enforcement.
• Prepare analytical sections of investigation reports, dashboards, visualizations, exception reports and monthly management statistics.
• Prepare evidence packages and technical documentation and support litigation or regulatory proceedings as required.
5. Stakeholder Engagement & Continuous Improvement
• Partner with investigators, business owners, IT, Legal and Risk & Compliance on data definitions, remediation actions and delivery timelines.
• Recommend control and process improvements arising from investigations and monitoring.
• Maintain confidentiality, access controls, data-protection compliance and secure evidence handling.
• Perform other duties assigned from time to time.