Gen AI & LLM Data Scientist for Wealth Advisory

Dbs; Hong Kong; On-site; HKD 1,000,000 - 1,600,000; Full time

Job summary

DBS is seeking an experienced analytics professional to lead Gen AI and agentic AI initiatives for the Investment Product & Advisory business, targeting affluent clients. You will partner with product and advisory heads to translate business needs into data-driven solutions and scale enterprise AI across regional teams.

The role requires 7+ years in data science within financial services, strong Python/PySpark skills, and a solid cloud background (GCP preferred).

Qualifications

• Bachelor’s degree or higher in data-related fields.
• 7+ years hands-on data science in financial services, fintech, or wealth management.
• Proven experience building and deploying Gen AI/LLM/Agentic AI in prod.
• Proficient in Python/PySpark and cloud platforms (GCP preferred).
• Strong foundation in AI/ML, NLP, deep learning, and statistical modeling.

Responsibilities

• Lead end-to-end design, development, and deployment of Gen AI and Agentic AI applications for advisory and wealth management.
• Support analytics roadmap and modern data science capabilities.
• Collaborate with Product Heads to translate business challenges into data deliverables.
• Build and evaluate AI models and agentic workflows for wealth scenarios.
• Ensure governance, risk compliance, and monitoring of AI/ML solutions.

Skills

Data science

Advanced analytics

AI/ML

NLP

Statistical modeling

Education

Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Business Analytics, AI

Tools

Python

PySpark

GCP / Cloud Computing

Qlik Sense

Job description

DBS is seeking an experienced analytics professional to lead Gen AI and agentic AI initiatives for the Investment Product & Advisory business, targeting affluent clients. You will partner with product and advisory heads to translate business needs into data-driven solutions and scale enterprise AI across regional teams.

The role requires 7+ years in data science within financial services, strong Python/PySpark skills, and a solid cloud background (GCP preferred).