Lets Write Africa’s Story Together!
Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this.
Job Description
Data Science & Analytics Specialist who will play a critical role in safeguarding our organization against fraud and financial crime. This position is ideal for a highly analytical and tech-savvy professional with 1–2 years of experience, who is passionate about using data to uncover risks, identify anomalies, and deliver proactive fraud detection solutions.
In this role, you’ll work at the intersection of data science, analytics, and forensic investigation, helping us detect fraud risks early and enhance integrity across our banking and insurance operations.
1. 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
2. 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
3. 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
4. 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
- Experience or exposure to data governance and data quality frameworks is an advantage
- Prior work in financial services, especially in banking, insurance, or fraud risk functions, is a strong plus
.
Skills
Action Planning, Claims Management, Data Compilation, Data Controls, Executing Plans, Financial Auditing, Insurance Claims Investigations, Typology
