Digital Forensics & Data Analyst at Old Mutual Kenya
- Nairobi
- Permanent
- Full-time
- Lead and support complex digital forensics investigations involving cyber fraud, insider threats, and data breaches.
- Conduct end-to-end forensic acquisition, preservation, examination, and analysis of digital evidence from multiple sources (e.g., servers, mobile devices, cloud environments).
- Develop and implement automated scripts and RPA solutions for data parsing and case workflow efficiency.
- Leverage SQL and data analytics to extract, analyze, and correlate data from disparate systems for investigative purposes.
- Produce high-quality forensic reports suitable for legal, regulatory, or executive review.
- Collaborate with fraud response teams, legal counsel, and IT stakeholders during investigations.
- Stay current with trends in cybersecurity threats, forensic tools, and investigative techniques.
- Digital Forensics Tools: EnCase, FTK (AccessData), Intella, Cellebrite, X-Ways
- Scripting & Querying: SQL, Python (preferred)
- Automation: Robotic Process Automation (RPA) tools such as UiPath, Blue Prism, or Automation Anywhere
- Data Analytics: Excel (advanced), Power BI, IDEA, or other analytics platforms
- Strong knowledge of Windows, Linux, and mobile OS file systems, registries, and artifacts
- Clear understanding of chain-of-custody and legal implications of digital evidence
- Banking and Insurance Experience
- Experience testifying as an expert witness or supporting legal proceedings
- Experience working in Financial Services industries (e.g., financial services, Insurance and Microfinance)
- Familiarity with SOC environments or incident response teams
- Bachelor’s degree in computer science, Information Technology, or a related field
- 3–5 years of experience in digital forensics, cyber fraud investigations, or related fields
- Certifications (any of the following highly preferred):
- EnCase Certified Examiner (EnCE)
- AccessData Certified Examiner (ACE)
- Certified Computer Examiner (CCE)
- GIAC Certified Forensic Analyst (GCFA) or similar
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