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Work setup: Unconfirmed
Employment: Full-time — employment source
Employee Status: Full time
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What you’ll work on

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.

From the employer’s posting

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.

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.

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.

What you’ll bring

All qualifications

Core experience

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.
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).

Qualification wording

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.

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).

Tools in this posting

AWS
BigQuery
Spark
NumPy
pandas
PyTorch
Python
Google Cloud (GCP)
scikit-learn
PySpark

Source

- 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.

- 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).

Job description

View original posting ↗

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.

Apply Now

We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.

Location:

One Island East

Job:

Analytics

Schedule:

Regular

Employee Status:

Full time

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Source & posting history

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Location & working pattern

One Island East

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Status in our records: Active
First seen by us: Oct 7, 2026
Recorded sightings: 5
Last seen by us: Oct 8, 2026
Employer says posted: Sep 17, 2026

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AVP, Specialist, Data Scientist, Institutional Banking Group