Data Science and Analytics Specialist at Old Mutual Kenya

Old Mutual

  • Kenya
  • Permanent
  • Full-time
  • 11 days ago
Old Mutual Kenya is based in Nairobi and is part of a larger group that offers solutions in long-term savings, asset management and investment. We offer solutions to individuals and corporates underpinned by our core values which are: Respect, Integrity, Accountability and Pushing beyond boundaries.Data Science and Analytics SpecialistKey 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
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