AVP, Specialist, Data Scientist, Institutional Banking Group
Reads like a ML Engineer role: putting models into production.
One Island East
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employee Status: Full time
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign, develop and deploy GenAI and agentic AI solutions for Corporate Banking
Lead end-to-end delivery of AI initiatives such as eKYC automation and sales-support agents
Build analytics models for risk screening and dynamic pricing
Integrate AI solutions into production systems with business, product and data engineering teams
Set up frameworks for model development, evaluation and deployment
From the employer’s posting
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
Collaborate with cross-functional teams, including business stakeholders, product managers, and data engineers, to integrate AI solutions into production systems
establishing robust frameworks for model development, evaluation, and deployment
What you’ll bring
All qualificationsCore 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
- Python
- AWS
- BigQuery
- GCP
- Spark
- NumPy
- pandas
- PySpark
- PyTorch
- scikit-learn
Source — Tool mentions in context
- 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).
- 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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 7, 2026 · 23 days ago
- Recorded sightings
- 76
- Last seen by us
- Oct 30, 2026
- Employer says posted
- Sep 17, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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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.
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 EastJob:
AnalyticsSchedule:
RegularEmployee Status:
Full timeSource details
Source notes
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- Location & working pattern
One Island East
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