requirements, and industry best practices. Data Analysis: Perform data analysis and visualization to identify anomalies indicative of fraudulent behavior, leveraging data mining techniques and fraud detection tools. Fraud and initiatives. Duties Analyzing transactional data and customer behavior patterns to identify potential and regulatory requirements. Data Analysis and Reporting: Performing data analysis and visualization to Analyst in Fraud Management involves a combination of data analysis, solution design, collaboration with stakeholders
based on changes to users, interfaces, processes, data flows, constraints, environments, and non-functional games to model scope, interfaces, story context, data flows, processes, retrospectives and dependencies enabler epics, enabler stories, and synthesize the data to articulate requirements. Work with development/QA quality principles. Analyse/document data requirements and model data flows through all seven product dimensions Knowledge Business writing skills Agile Concepts Data and Business analysis Process Engineering Skills
dynamics, etc.) ● Support with user research and data analysis to help the team develop insights on riders role ● Fluent in English ● Data-first problem solver with good Excel/data management ● Strong verbal during fluid conditions. ● Analytical skills and data-driven decision-making; fluency in SQL is a plus
dynamics, etc.) ● Support with user research and data analysis to help the team develop insights on riders role ● Fluent in English ● Data-first problem solver with good Excel/data management ● Strong verbal during fluid conditions. ● Analytical skills and data-driven decision-making; fluency in SQL is a plus
automated controls within audit scope and utilising data analytics. • Identify and ensure compliance with documented information and data in the audit process. Digital Platform & Data Driven Audits: • Apply on large-scale and complex changing environments, data, IT infrastructure and technology and determine Analysing and interpreting qualitative and quantitative data • Financial services; preferable banking – retail Communicating standards to others • Consolidate data from various sources and identify/interpret trends
based on changes to users, interfaces, processes, data flows, constraints, environments, and non-functional games to model scope, interfaces, story context, data flows, processes, retrospectives and dependencies enabler epics, enabler stories, and synthesize the data to articulate requirements.
based on changes to users, interfaces, processes, data flows, constraints, environments, and non-functional games to model scope, interfaces, story context, data flows, processes, retrospectives and dependencies enabler epics, enabler stories, and synthesize the data to articulate requirements.
/>automated controls within audit scope and utilising data analytics.
• Identify and ensure compliance
information and data in the audit process.
Digital Platform & Data Driven Audits:
data, IT
infrastructure and technology and determine
Analysing and interpreting qualitative and quantitative data
• Financial services; preferable banking –
Communicating standards to others
• Consolidate data from various sources and identify/interpret trends
Nairobi, and Amsterdam who provide logistical support, data, and market insights. How you'll role As the Group efficiency of data management, financial reporting, and continuous improvement in data analytics and
journeys using Adobe Journey Optimizer, leveraging data insights, segmentation, and personalization techniques based on demographic, behavioural, and transactional data, ensuring relevance and effectiveness of marketing analytical skills, with the ability to interpret data, analyze results, and draw actionable insights to