Personal & Private Banking (PPB) Fraud Data and Analytics Graduate Programme

The Fraud Risk Management (FRM) Technology Data and Analytics team provides Fraud technology support as well as data and analytics insights for the business.

The FRM Technology Data Analytics Graduate Programme is designed to cultivate analytical thinkers who can translate data into strategic insights that enhance customer experiences and assist the different FRM areas with critical information related to fraud. Graduates will learn to extract value from complex datasets apply statistical and develop visualizations and reports that support datadriven decisionmaking.

A key component of the program is fostering collaboration and crossfunctional problemsolving. Graduates will work closely with the different FRM area streams to assist in data analytics insights and reporting that will better assist in fraud detection and prevention.

Data extraction and Data Validation / Information Gathering

• Interface with multiple business users across the organization to gather and understand analytics / reporting requirements
• Translates data in a way that meets functional area specifications.
• Understands the data systems and architecture of frontend applications and backend data.
• Pulls the data from the relevant data source/s (e.g. enterprise information warehouse (EIW)) using SQL/SAS/SSIS or any of the existing extraction tools
• Test planning and execution
• Performs data validation to ensure that data is correct and meets functional area data specifications.
• Ensures the timeous delivery of accurate data extraction.
• Validates the quality of the data raises incidents where necessary and works with data stewards to continuously improve on the quality of data.

Reporting

• Creation and maintenance of reports as required for performance and financial reporting daily / weekly / Monthly to Operations
• Manages the consolidation of all relevant measurement (business process and performance) MIS and standardised reporting for functional area
• Provide continues improvement reporting and analytics
• Generate both periodic and ad hoc reports as needed.
• Analyse business information to identify process improvements for increasing business efficiency and effectiveness.
• Update and maintain agent database
• Identify and drive the translation of Ad hoc reports to automatic dashboardbased reports
• Provides trend analytics proactively and on stakeholder request
• Puts plans in place to automate all standardised reporting functions.

Business Continuity

• Ensure all reports are documented with the process and procedure for handover purposes.

Stakeholder Engagement

• Understand customer requirements and provide appropriate technical solutions.
• Build and maintain strong relationships with internal clients and recommend innovative solutions to business problems.
• Work within crossfunctional teams to resolve reporting requirements and recurring customer issues
• Provide customer support and assistance with reporting enquiries/issue troubleshooting and resolution.

Supervisory and Leadership

• Take a customercentric view
• Develop supportive relationships
• Communicate actively and effectively resolving any potential conflicts that may arise and sharing and providing relevant information
• Management of business unit expectations to meet delivery deadlines
• Management of deliverables (especially aligned to agreed project list)
• Manage multiple (internal) customer needs and relationship.

Application closing date: 30 June 2025

Qualifications :

Honours in:

• Computer Science
• Information Technology
• Data Science

Honours qualification to be completed by 31 December 2025

Additional Information :

Minimum requirements:

• South African Citizen
• Should you have work experience it should not exceed 18 months 
• Full academic transcripts to be submitted with application for undergraduate and postgraduate studies.

Remote Work :

No

Employment Type :

Fulltime