Vacancies at Old Mutual Kenya

Key Tasks and Responsibilities

• 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. 

Skills and Competencies 

• 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 

Knowledge and Experience

• 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 

Qualifications

• 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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Key Tasks and Responsibilities

• Develop and deploy data-driven models and BI dashboards for early fraud detection and behavioral pattern analysis 
• Conduct proactive forensic data analysis using advanced tools such as Alteryx, IDEA, Power BI, and Tableau
• Write and optimize SQL, Python, and R scripts to query structured/unstructured data for anomalies and indicators of potential fraud
• Support investigations by extracting, cleaning, and transforming large volumes of financial, claims, and transactional data 
• Build repeatable analytics workflows to monitor risk indicators across key business functions
• Work closely with internal audit, risk, compliance, and IT teams to improve fraud detection strategies
• Contribute to data governance and data quality initiatives supporting forensic integrity and regulatory reporting

Skills and Competencies

• Languages/Scripting: SQL, Python, R
• Analytics & BI Tools: Power BI, Tableau, IDEA, Alteryx (Altrexy)
• Data Science & Engineering: ETL workflows, data wrangling, feature engineering
• Excel: Advanced data analysis and visualizationStrong understanding of fraud typologies in the banking and insurance sectors
• Ability to translate complex datasets into actionable forensic insights 

​​​​​​​Knowledge and Experience

• Familiarity with fraud detection models (e.g., outlier detection, clustering, anomaly scoring)
• Exposure to case management tools and forensic investigation platforms
• Experience with regulatory frameworks like AML, FATCA, or fraud compliance in financial services
• Knowledge of internal audit or forensic procedures is beneficial

​​​​​​​Qualifications

• Bachelor’s degree in computer science, Information Technology, Data Science, or related field
• 1–2 years of experience in data analytics, business intelligence, or data science
• Certifications preferred: 
• Power BI Certification
• Certified Data Management (CDM) or equivalent