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BankservAfrica is the largest automated clearing house in Africa. We build and operate South Africas core interbank payments infrastructure
PURPOSE
The Fraud Business Intelligence Analyst has a dynamic role to play at a national level in the analysis, interpretation, and visualisation of payments data. Experienced in data modelling, analysing fraudulent patterns and behaviour, you will through the development of dashboards, reporting and clear communication help the customer visualise the impact, influence, and status of their fraud landscape so that informed decisions relating to risk, prevention and the management thereof can be made.
The overall objective is to understand and transform data into usable knowledge that delivers customer value in fraud detection and analytics while establishing the organisation as a strategic partner in national fraud prevention. The Fraud Business Intelligence Analyst will be required to identify opportunities to grow, optimize, and improve processes that contribute directly to the proactive detection of fraud and the reduction of fraud losses while minimising impact to genuine transactions. This involves the development, optimization, maintenance, and evolution of fraud data models at national level and cross border which will require you to have a broad understanding of money laundering trends and techniques
Key abilities include leveraging off of multiple skillsets, including data engineering, advanced computing, scientific methods, statistical computation, visualization (keylines, regraph and kronograph), business communication, and domain expertise.
You will engage with the following stakeholders:
Your key responsibilities include:
QUALIFICATIONS / KNOWLEDGE
QUALIFICATION/KNOWLEDGE (INCLUDING MOST RELEVANT FIELD OF STUDY)
EXPERIENCE
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