Gen AI Full stack

MY | Gen AI Full stack

PLS NOTE : This is an On site position for Malaysia Location.

Industry : Banking

Experience : Min 8 years of experience

Max Salary Budget 10 k RM per month

Contract 1 YEAR

Possibility of Extension : Yes.

Location : Kuala Lumpur

Job Description :

Min 8 years of experience

Building and deploying machine learning models to detect and prevent financial crimes,

achieving a measurable reduction in fraud losses for Standard Chartered.

• Implement Generative AI solutions to generate synthetic data for training, improving model

accuracy by at least 15% in FinCrime and Compliance use cases.

• Mentor and guide a team of machine learning engineers and data scientists, fostering a culture

of technical excellence and innovation within the FinCrime and Compliance domain.

• Lead a team to deliver production-ready ML pipelines within 6 months, integrating real-time

transaction monitoring for anti-money laundering (AML) compliance.

• Optimize feature engineering and model tuning to increase detection rates of suspicious

activities

• Roll out scalable ML systems that process millions of transactions daily, reducing false positives in compliance alerts

• Drive the adoption of advanced ML algorithms to identify sanctions evasion patterns, cutting

investigation times for compliance teams.

• Deliver quarterly reports showing improvements in key FinCrime KPIs, such as alert accuracy

and case resolution speed, to senior management.

• Execute A/B testing on ML-driven compliance tools, achieving a statistically significant boost in

operational efficiency

• Hands-on experience with LLMs techniques (e.g., RAG, Agents, Graph RAG) to improving

FinCrime detection accuracy.

• Expertise in model optimization and hyperparameter tuning to achieve high precision and recall

in fraud detection and compliance applications.

• Advanced understanding of statistical methods and anomaly detection algorithms to identify

suspicious patterns in financial data.

Job Types: Full-time, Contractual / Temporary
Contract length: 12 months

Pay: Up to ₹2,100,000.00 per year

Work Location: In person