Job description

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.

  

We are currently seeking an experienced professional to join our team in the role of Consultant Specialist.

  

Business: CTO Infrastructure

   

Principal responsibilities

  • Build real-time anomaly detection and prediction models using Transformers, LSTM, and time-frequency fusion.

  • Construct knowledge graphs and apply causal inference (PC/Bayesian networks, GNNs) for root cause analysis.

  • Deploy models in real-world scenarios (e.g., equipment monitoring, fault diagnosis, e-commerce optimization) using XGBoost/LightGBM, KDE, and LSTM.

  • Design and execute A/B tests to evaluate model impact with metrics (accuracy, F1, AUC-ROC) and business KPIs.

  • Develop and deploy LLM & RAG solutions for intelligent Q&A, knowledge retrieval, and automated reasoning, integrating vector databases (e.g., FAISS, Milvus).

  • Integrate RAG with knowledge graphs to enhance retrieval accuracy and provide context-aware, explainable answers for complex business scenarios.

Requirements

  • Modeling: Transformers, LSTM, XGBoost/LightGBM, KDE.

  • Causal Inference: PC/Bayesian networks, GNNs, knowledge graphs.

  • LLM & RAG: Experience with LLMs (e.g., GPT, Llama), RAG frameworks (LangChain, LlamaIndex), vector search (FAISS, Milvus), and prompt engineering

  • Knowledge Graph Integration: Practical experience combining RAG with knowledge graphs for enhanced retrieval and reasoning

  • Evaluation: A/B testing, model metrics (F1, AUC), feature analysis (SHAP).

  • Tools: TensorFlow/PyTorch, Spark/Flink/Kafka, model serving (e.g., TensorFlow Serving).

  • Deployment: Experience with distributed computing and model integration into production systems.

  • Anomaly Detection Project Experience: Proven track record in deploying models for industrial equipment monitoring, financial system fault diagnosis, or e-commerce platform performance optimization.

  • Causal Root Cause Analysis Project Experience: Hands-on experience in building knowledge graphs and applying causal inference methods (e.g., PC/Bayesian networks) to identify root causes in complex systems.

  

You’ll achieve more when you join HSBC.

 

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.

 

Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

 

 

***Issued By HSBC Software Development (GuangDong) Limited***

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