Gen Ai Full Stack
2 days ago
**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
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
- 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
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