Analyst, Fraud Rules Management Analytics

Job Overview Business Segment: Location: ZA, GP, Johannesburg, Baker Street 30 Responsible for dynamic fraud rules algorithms, quality assurance and governance underpinning new analytics development. Provide 24/7 fraud rule monitoring support to effectively prevent and detect flash fraud.Drive innovation in fraud risk prediction, prevention, detection models using predictive analytics and machine learning models.We are looking for 2 talented individuals to fully capacitate the team. Qualifications Minimum QualificationsType of Qualification: Post Graduate DegreeField of Study: Mathematical SciencesOther Minimum Qualifications, Certifications or Professional Memberships: Cortana Intelligence Suite, SQL, Python, and SAS Analytics Suite,Reputable Data Scientist Degree , Data Mining/Machine Learning/Statistics ExpertiseExperience Required3-4 yearsExperience Description: Advanced experience in Financial Services, Predictive Modelling and Analytics capability development and management with a well-developed risk management knowledge of the personal and business banking, and wealth environments and related fraud through practice. Proven Predictive Fraud Modelling and Analytics experience.2 yearsExperience Description: Advance data analytics capabilities.
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