These jobs were popular with other job seekers Reference: JNB007759-MNT-1The Head of Fraud Controls, Regulatory & Industry Compliance, Fraud Solutions is
QA Engineering - Proactively contribute & participate in the full solution development lifecycle as a member of a squad / multiple squads as an QA automation
Key responsibilities: Understand and stay up to date on all relevant Group Enterprise Risk Management (ERM), compliance, legislative and regulatory
To Lead the Test Implementation in accordance with the agreed Quality Assurance principles and standards in order to manage the Product risk and
Key Responsibilities Risk Management: Providing Subject Matter Expertise to Fraud Risk types Stakeholder Management: Build and Maintain effective Relationships
Background and experience required: 3-5 years in process optimization roles Scientific methodologies associated with efficiency improvements, i.e. queuing
Description: Use the automation framework and pre-defined test tools to inspect, analyse, design, develop and implement re-useable automated test assets to
Description The Data Engineer skill is required to enable the data lifecycle within EDS, namely the ability to integrate data between source system
Description The "TECHNICAL data analyst" skills required to enable the data lifecycle within EDS, namely the ability to profile source data and complete the
Essential Functions: To collaborate with business stakeholders to prioritize transformation initiatives and deliver future relevant technology solutions,
Assessing, analysing, optimising, documenting, implementing and testing end-to-end enterprise business processes of a multi-skilled team. The candidate must
Description: Use the automation framework and pre-defined test tools to inspect, analyse, design, develop and implement re-useable automated test assets to
Description:Use the automation framework and pre-defined test tools to inspect, analyse, design, develop and implement re-useable automated test assets to
DescriptionThe Data Engineer skill is required to enable the data lifecycle within EDS, namely the ability to integrate data between source system
DescriptionThe "TECHNICAL data analyst" skills required to enable the data lifecycle within EDS, namely the ability to profile source data and complete the
Experience in applying process modeling standards such as, BPMN. Knowledge of and exposure to business process transformation, including process enabling and
Required Knowledge, Experience, and Skills: - 5 - 8 years experience as a Project Manager in the IT environment managing projects from inception to closeout -
Required Knowledge, Experience, and Skills:- 5 - 8 years experience as a Project Manager in the IT environment managing projects from inception to closeout- At
Experience in applying process modeling standards such as, BPMN. Knowledge of and exposure to business process transformation, including process enabling and
Assessing, analysing, optimising, documenting, implementing and testing end-to-end enterprise business processes of a multi-skilled team. The candidate must