Manager: Forensic Technology
Core
Lead and modernize forensic-technology capabilities by driving AI-enabled cybercrime analytics, forensic data science, telecom-fraud risk modelling, and digital-evidence excellence to safeguard the organization's digital ecosystem.
Role type
Manager, Forensic Technology & Cybercrime Analytics
Builds
AI-driven detection models, early-warning systems, predictive models, forensic analytics repositories, and data pipelines for fraud and cybercrime analysis.
Domain
Telecommunications, Cybersecurity, Forensic Data Science, Fraud Detection
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
AI-driven model development, anomaly detection, predictive modelling, data mining, entity resolution, link analysis, SQL modelling, data pipeline architecture, digital evidence governance, trend analysis, correlation modelling.
Preferred skills
None stated.
Technologies
FMS, CFAS, LEA, GIS, EIR, SQL, automation scripts.
Responsibilities
Develop and maintain AI-driven detection and monitoring models for fraud and cybercrime; Design analytics-based early-warning systems leveraging telecom and network data; Manage digital-evidence metadata repositories ensuring compliance; Design and govern forensic analytics repositories and data lakes; Conduct data mining, clustering, and link-analysis exercises; Build scalable data pipelines integrating telecom, billing, and security datasets.
Seniority
Manager, strategic leadership with hands-on technical execution.