AVP, Specialist, Data Scientist, Institutional Banking Group

Dbs; Hong Kong; On-site; HKD 1,000,000 - 1,800,000; Full time

Job summary

DBS is seeking a seasoned Analytics leader to design, build, and deploy GenAI and agentic AI solutions within Corporate Banking. You will drive digital transformation, automate processes like eKYC, optimize workflows, and lead cross-functional collaboration with data engineers and product managers.

You will develop advanced analytics models for risk screening and dynamic pricing, collaborating with stakeholders to align AI capabilities with strategic business decisions.

Qualifications

• Degree in Computer Science, Data Science, Statistics, or related quantitative discipline.
• 8+ years of experience in data science/ML/AI with enterprise-scale production initiatives.
• Expert proficiency in Python/PyTorch, Pandas, NumPy, scikit-learn.
• Hands-on GenAI, LLMs, prompt engineering, RAG, and agentic frameworks like LangChain.

Responsibilities

• Design, develop, and deploy GenAI and Agentic AI solutions to drive digital transformation in Corporate Banking (IBG).
• Lead end-to-end AI initiatives, including eKYC automation, workflow optimization, and intelligent sales-support agents.
• Develop and optimize analytics models for risk screening and dynamic pricing.

Skills

Python / PySpark

GenAI / LLMs

Cloud platforms

Qlik Sense

Stakeholder influence

Education

Bachelor's in CS/Data Science

Master's preferred

Tools

LangChain

Vertex AI / GCP

BigQuery

Spark

Dify

Job description

Business Function

As the leading bank in Asia, Transformation & Data (T&D) supports our management in the implementation of the Group's agenda. The Data Chapter, organized under T&D, is committed to creating synergies between data analytics functions across the bank, establishing centres of excellence, shared services, and reusable data assets, as well as enhancing career opportunities and the sense of community for data professionals.

Responsibilities

• Design, develop, and deploy Generative AI (GenAI) and Agentic AI solutions to drive digital transformation within Corporate Banking (IBG).
• Lead the end-to-end implementation of AI-driven initiatives, including eKYC automation, workflow optimization, and intelligent sales-support agents.
• Develop and optimize advanced analytics models for risk screening and dynamic pricing to support strategic business decisions.
• Collaborate with cross-functional teams, including business stakeholders, product managers, and data engineers, to integrate AI solutions into production systems.
• Strengthen the bank's AI delivery capabilities by establishing robust frameworks for model development, evaluation, and deployment.
• Contribute actively to the bank's broader AI transformation agenda by identifying and piloting emerging AI technologies and methodologies.

Requirements

• Degree in Computer Science, Data Science, Statistics, or a related quantitative discipline.
• 8+ years of experience in data science/ML/AI, with a proven track record of delivering enterprise-scale, production-grade initiatives.
• Expert proficiency in AI/ML model development using Python/PySpark and core libraries (Pandas, NumPy, PyTorch, scikit-learn).
• Hands-on expertise in GenAI, LLMs, prompt engineering, RAG, and agentic frameworks (e.g., LangChain, LangGraph, Dify).
• Experience with cloud/big data platforms (GCP/Vertex AI, AWS, Cloudera, BigQuery, Spark, Kedro).
• Advanced data visualization skills; Qlik Sense proficiency is mandatory.
• Exceptional analytical, communication, and strategic acumen, with the ability to influence senior stakeholders and bridge business and technology teams.

Location:

One Island East

Job:

Analytics

Schedule:

Regular

Employee Status:

Full time