Analyst, Fraud Rules Management Analytics

  • Full-time
  • Business Segment: Personal & Private Banking

Company Description

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

Job Description

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 Qualifications

  • Type of Qualification: Post Graduate Degree
  • Field of Study: Mathematical Sciences
  • Other Minimum Qualifications, Certifications or Professional Memberships: Cortana Intelligence Suite, SQL, Python, and SAS Analytics Suite, Reputable Data Scientist Degree , Data Mining/Machine Learning/Statistics Expertise

Experience Required

  • 3-4 years Experience 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 years Experience Description: Advance data analytics capabilities.

Additional Information

Behavioural Competencies:

  • Team Working
  • Producing Outputs
  • Generating Ideas
  • Embracing Change
  • Taking Action

Technical Competencies:

  • Knowledge Management Systems
  • Fraud Detection and Management
  • Risk Management
  • Effective business communication
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