AVP, AI Data Engineer (Data Loss Monitoring)

About the role

OCBC invites a hands-on AVP to join its Data Loss Monitoring (DLM) team and modernise monitoring through AI, automation, data engineering and analytics. The role builds secure, reliable and scalable solutions that strengthen detection, alert review, investigation, oversight and management reporting in a regulated banking environment.

Key responsibilities

• Design and deploy AI-assisted solutions, agents and workflows for alert triage, investigation, case enrichment, escalation and reporting
• Automate manual DLM processes using Python, APIs, workflow orchestration and scripting
• Build scalable ETL/ELT pipelines, data marts, dashboards and risk analytics, documenting data lineage and procedures
• Translate DLM control requirements and risk scenarios into practical workflows and technical capabilities
• Use regex, pattern matching, exact data matching, fingerprinting and classification to enhance content inspection and detection
• Support SIT, UAT, OAT, deployment, production verification, onboarding, warranty support and issue resolution
• Partner with Technology, Data, Information Security, Compliance, Operational Risk, Internal Audit and Business Units, and ensure compliance with technology risk, information security, privacy, data governance, model risk and Responsible AI requirements

Required profile

• Degree in Computer Science, Data Science, Information Security, Engineering or a related discipline
• Typically 6+ years of hands-on experience in AI engineering, automation, software development, data engineering or analytics engineering
• Experience delivering solutions end-to-end, across business, risk and technology teams; banking or another regulated environment preferred
• DLP, cyber-security monitoring or information-risk experience is advantageous but not mandatory

Required skills

• Strong Python and SQL, with APIs, scripting, automation frameworks and software-engineering practices
• Knowledge of AI/ML or LLM patterns, including prompt engineering, RAG, agentic workflows, model integration, evaluation and human-in-the-loop controls
• Working knowledge of secure coding, access control, encryption, audit logging, data quality, lineage and production monitoring
• Advantageous: DLP platforms, content inspection, regex-based detection or data classification

What we offer

• Competitive base salary
• Holistic, flexible benefits and community initiatives
• Learning and professional development opportunities