About The Role

• Through analysis, aim to identify anomalies, and provide actionable recommendations that mitigate risk, reduce financial losses, and protect both customers and stakeholders from the impact of fraudulent behaviour.
• Extracting, analysing, and linking of data from multiple sources and systems to detect fraud trends that will influence strategy and the writing of expert fraud rules. Implementing and operationalizing fraud mitigation and analysing the effectiveness thereof through dashboards and metrics.

Our Ideal Candidate

• 3 to 5 years of relevant experience in data analytics
• 1 to 2 years of relevant experience in fraud detection
• Strong data analysis skills.
• Ability to identify anomalies and patterns.
• Experience in fraud detection.
• Proficiency in SQL querying and database extraction.
• Basic understanding of machine learning algorithms (supervised and unsupervised learning).
• Data visualization skills, preferably in Power BI.
• Python proficiency is not a strict requirement but would be a nice-to-have.

Minimum Education

• Grade 12 National Certificate/Vocational
• A relevant tertiary qualification in Information Technology, Computer Science, or Statistics

Skills

• Attention to Detail
• Numerical Reasoning skills
• Communications Skills
• Planning, organizing and coordination skills
• Problem solving skills