3 days ago
Guangzhou, ChinaSenior
Responsibilities
- Map Risk & Compliance processes, including inputs, handoffs, data lineage, controls, and exceptions.
- Simplify processes by removing redundant steps, duplicate controls, manual reconciliations, and rework loops.
- Re-engineer target processes around agentic patterns with explicit human-in-the-loop decisions and control points.
- Build and integrate production agentic workflows using LLMs, tool calling, and MCP.
- Implement RAG, GraphRAG, vector, and hybrid search across policy, regulatory, risk, and document data.
- Replace or wrap legacy spreadsheets, macros, scripts, and end-user computing components with maintainable version-controlled code.
- Build evaluation harnesses for accuracy, faithfulness, robustness, and regression using business-approved golden datasets.
- Deploy governed workflows through LLMOps pipelines with monitoring for drift, quality, cost, and latency.
- Plan and execute parallel runs, cutovers, and rollback procedures.
- Create reusable patterns and shared components for the Chief AI Officer function in Risk & Compliance.
Requirements
- Substantial hands-on experience in software, data, or ML engineering with proven delivery of LLM-based applications into production.
- Strong Python engineering experience across APIs, containers, CI/CD, and cloud platforms such as Azure, GCP, or AWS.
- Production experience building RAG pipelines, vector and hybrid search approaches, and agent orchestration frameworks.
- Experience creating evaluation and monitoring approaches for accuracy, faithfulness, robustness, regression, drift, quality, and guardrails.
- Depth in at least one of skills and monitoring, orchestration and MCP, tools refactoring, or deployment and GUI, with working knowledge of the others.
- Strong engineering practices including automated testing, code review, Git, and reliable CI/CD ways of working.
- Strong SQL capability and confidence handling structured and unstructured data, including documents, PDFs, and emails.
- Experience delivering in regulated environments and evidencing controls for audits and regulators.
- Knowledge of model risk, data protection, and change governance.
- Candidates with less relevant experience or skills may be offered a lower Global Career Band.
Benefits
- Flexible working and opportunities for continuous professional development and career growth.
- Inclusive and diverse workplace culture where employees are valued, respected, and encouraged to contribute their opinions.
- Candidates with immediate local right to work and no relocation need will be prioritised due to the urgent hiring need.
Categories
About HSBC
HSBC is a global bank that provides retail, commercial and investment banking, payments, and wealth management to individuals, SMEs, and multinationals. It earns fees, interest income, and trading revenues through branches and digital platforms across major markets. Headquartered in London, it serves over 40 million customers in 58 countries and is listed in London, Hong Kong, New York, and Bermuda.