of working in the first line of defence, close to operations and product delivery Deep knowledge of fraud typologies (e.g., APP fraud, card fraud, mule activity) and detection methods Data-driven mindset with strong analytical and problem-solving skills Excellent stakeholder and communication skills #J-18808-Ljbffr More ❯
for external and executive audiences Building an extensive knowledge of cybercrime – account takeover, scams, social engineering, Card Not Present (CNP) fraud, money laundering and mule fraud etc Employing your multi-tasking and prioritisation skills to excel in a fast-paced environment with frequently changing priorities Requirements: Experience in a data More ❯
and Various SLA policies. Knowledge on API Led connectivity (should have worked on all 3 layers - process, system and experience) Should have worked on Mule basic connectors like Scatter gather, batch, for each. Should have enough knowledge on error handling and Monitoring. Should have handled Deployments and good in debugging More ❯
and Various SLA policies. Knowledge on API Led connectivity (should have worked on all 3 layers - process, system and experience) Should have worked on Mule basic connectors like Scatter gather, batch, for each. Should have enough knowledge on error handling and Monitoring. Should have handled Deployments and good in debugging More ❯
and Various SLA policies. Knowledge on API Led connectivity (should have worked on all 3 layers - process, system and experience) Should have worked on Mule basic connectors like Scatter gather, batch, for each. Should have enough knowledge on error handling and Monitoring. Should have handled Deployments and good in debugging More ❯
