Quant jobs / DBS Bank (Hong Kong) Limited

AVP, Specialist, Data Scientist, Institutional Banking Group

Develop production AI and analytical models for DBS’s institutional banking business. The mandate includes risk screening and dynamic pricing alongside agentic workflow applications.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Develop risk-screening or pricing models.
Deploy AI workflows and integrate them with bank systems.
Build evaluation and model-delivery standards with data teams.

What they ask for

Required

Python or PySpark
Production AI and machine learning
LLMs, RAG and agentic systems
Qlik Sense
Senior stakeholder communication

Preferred

Cloud and big-data platforms

Education: Degree in computing, data science, statistics or another quantitative field; level not specified.
Experience: At least 8 years in data science, machine learning or AI.
Languages and tools: Python
PySpark
pandas
NumPy
PyTorch
scikit-learn
Qlik Sense
LangChain
LangGraph

How to prepare

Validate a risk-screening model with clear performance metrics.
Prototype a pricing model and evaluate calibration.
Deploy an AI workflow with monitored failure and data-access controls.

What to study

The NLP and ML Quant Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on DBS Bank (Hong Kong) Limited’s site before applying: requirements, location and pay can change after we check them.

View the posting on DBS Bank (Hong Kong) Limited’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with DBS Bank (Hong Kong) Limited and doesn’t handle applications.