Fraud Intelligence and Analytics Manager at Absa

Job Description

An exciting opportunity exists within the CIB Fraud Team for a Fraud Analytics and Intelligence Manager who will be responsible for enhancing the CIB fraud risk management capability through: data analytics, input to monitoring models and rule sets, proactive horizon scanning and understanding of and response to current and forward-looking fraud intelligence / threats. This role entails:

• Data analytics and deep dives informed by relevant fraud threats in CIB
• Inform demand for additional monitoring, models and rule sets 
• Maintain / refine / build fraud monitoring models, including AI models based on input from Fraud Operations, Fraud Strategy and emerging threats
• Develop and provide input to relevant fraud monitoring control standards
• Through actively monitoring threat intelligence / horizon scanning inform the CIB current and future fraud threat landscape
• Drive close collaboration with Cyber and FinCrime on sharing threat intelligence
• Closely collaborate with the various capabilities in the CIB Fraud Risk Management team e.g. Fraud Strategy, Fraud Ops, etc. to achieve the most effective results
• Drive prioritization of mitigation of emerging threats with Fraud Strategy and the business
• Work closely with Fraud Strategy on compiling governance reporting across the CIB portfolios on the CIB fraud risk profile
• Periodic MI and reporting e.g. on emerging threats and intelligence

Education and experience required

• Degreed candidate preferred
• Data science qualifications beneficial
• Experience in CIB preferred
• 5-8 years (Technical/Managerial) experience in Fraud Risk Management / Monitoring toolsets or big data analytics

Qualifications

• Bachelor`s Degrees and Advanced Diplomas - Business, Commerce and Management Studies, Digital familiarity (Meets some of the requirements and would need further development), Experience in a similar environment at management level, Leading people - Leadership level (Meets some of the requirements and would need further development), Openness to change (Meets some of the requirements and would need further development), Process optimisation (Meets all of the requirements), Reasoning (Meets all of the requirements), Risk Management (Meets all of the requirements)