in analytical/statistical modeling roles (banking/insurance preferred).
At least
3 years of experience in a banking environment
within a reputable financial institution.
Proven track record in deploying
Machine Learning
models and
Generative AI
solutions.
Role Purpose
Serve as a subject matter expert in advanced analytics--Machine Learning (ML), NLP, Generative AI, Network Analytics--to translate data into actionable insights that strengthen the
Risk & Control
function across the bank.
Key Skills & Technical Expertise
SAS Programming
- minimum 5 years.
Strong proficiency in
Python
.
Experience with
Generative AI / BI
,
LLMs
,
RAG
,
NLP
,
Machine Learning
,
Network Link Analytics
.
Knowledge of big data tools such as
SAS
,
Oracle BDA
.
Hands-on experience with large datasets, data mining techniques, segmentation, and data modeling.
Familiarity with
cloud platforms
(AWS, Azure, etc.).
Ability to present analytical insights clearly to business stakeholders.
Experience working in an
Agile
environment.
Job Type: Full-time
Pay: RM9,000.00 - RM10,000.00 per month
Experience:
cloud platforms (AWS, Azure, etc.).: 2 years (Preferred)
Data Scientist: 2 years (Required)
analytical/statistical modeling roles: 2 years (Preferred)
banking environment: 2 years (Preferred)
Generative AI / BI, LLMs: 2 years (Preferred)
RAG, NLP, Machine Learning, Network Link Analytics: 2 years (Preferred)
Python.: 2 years (Preferred)
SAS Programming: 2 years (Preferred)
Work Location: In person
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