AVP, AI Data Engineer (Data Loss Monitoring)
Oversea-Chinese Banking Corporation Limited3 days ago
Singapore, SingaporeStaff+
Responsibilities
- Design and deploy AI-assisted solutions, agents, and workflows for DLM alert triage, investigation, case enrichment, escalation, and reporting.
- Automate DLM processes using Python, APIs, workflow orchestration, and scripting.
- Develop production-ready applications for structured and unstructured data, including large or complex files and text.
- Design and maintain scalable ETL/ELT pipelines and trusted datasets for analytics, investigations, automation, and AI use cases.
- Implement data cleansing, transformation, reconciliation, quality validation, performance optimization, scheduling, orchestration, monitoring, logging, and exception handling.
- Enhance content inspection and detection using regex, pattern matching, Exact Data Matching, fingerprinting, classification, and contextual analytics.
- Translate DLM requirements and risk scenarios into solution designs, data models, implementation plans, and acceptance criteria.
- Support SIT, UAT, OAT, deployment, production verification, onboarding, warranty support, and issue resolution.
- Ensure alignment with technology risk, information security, privacy, data governance, model risk, and Responsible AI requirements.
- Partner with Technology, Data, Information Security, Compliance, Operational Risk, Internal Audit, and business teams.
Requirements
- 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, analytics engineering, or related roles.
- End-to-end solution delivery experience covering requirements, design, development, testing, deployment, and production support.
- Strong Python and SQL skills, with experience in APIs, scripting, automation frameworks, and software-engineering practices.
- Knowledge of AI/ML or LLM patterns, prompt engineering, retrieval-augmented generation, 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.
- Ability to design, code, troubleshoot, review implementation details, and translate operational and control needs for diverse stakeholders.
- Experience working across business, risk, and technology teams; banking or another regulated environment is preferred.
- DLP, cybersecurity monitoring, or information-risk experience is advantageous but not mandatory.
Benefits
- Competitive base salary.
- Holistic and flexible benefits to suit different lifestyles.
- Community initiatives.
- Industry-leading learning and professional development opportunities.
- Wellbeing, growth, and career development support.
Categories
AI ApplicationsData Engineering
About Oversea-Chinese Banking Corporation Limited
Oversea-Chinese Banking Corporation (OCBC) is a Singapore-headquartered bank founded in 1932 that provides consumer, corporate, investment, and transaction banking, plus wealth and private banking, insurance, asset management, and stockbroking. It serves retail customers, SMEs, and large enterprises across key markets including Singapore, Malaysia, Indonesia, and Greater China. OCBC is publicly listed on the Singapore Exchange and operates subsidiaries such as Bank of Singapore, Great Eastern, Lion Global Investors, OCBC NISP, and OCBC Wing Hang.