Responsibilities

AI/ML Systems Design and Development

·     Enhance and maintain intelligent anomaly detection pipelines by integrating traditional rulebased systems with modern time series forecasting and ML models.

·     Build scalable, production-grade machine learning pipelines using Python, TensorFlow, PyTorch, and Scikit-learn.

·     Design and deploy real-time and batch inference services using AWS SageMaker, Lambda, and Bedrock.

·     Implement generative AI and LLM-based solutions to enhance system diagnostics, log interpretation, anomaly explanation and to dynamically generate rules.

·     Develop and maintain backend services using Java Spring Boot and frontend applications using React.

·     Utilize MongoDB for efficient data storage and retrieval in anomaly detection systems.

Automation and Infrastructure

·     Lead the development of fully automated ML workflows, from data ingestion to model retraining and monitoring, using shell scripts, AWS Step Functions, and CI/CD pipelines.

·     Deploy, monitor, and manage models on cloud and on-premise hybrid environments, ensuring scalability and low-latency performance.

·     Apply MLOps principles to streamline experimentation, deployment, and version control of ML models.

Data Visualization and Communication

·     Develop intuitive web-based dashboards to visualize anomalies and model outputs, supporting business analysis and stakeholder insights.

·     Collaborate with regulatory reporting teams to tailor model outputs to compliance needs across MAS, HKMA, EMIR, and other frameworks.

Leadership and Strategy

·     Provide technical guidance and support to peers, fostering a collaborative environment and promoting best practices in ML development and deployment.

·     Contribute to architecture decisions, promote AI/ML best practices, and lead code reviews and design discussions.

·     Collaborate with product owners, business analysts, and technology leads to align model outputs and requirements with business KPIs.

Legal and Regulatory Responsibilities

·     Comply with all applicable legal, regulatory and internal Compliance requirements, including, but not limited to, the Singapore Compliance manual and Compliance policies and procedures as issued from time to time; Financial Security requirements, including, but not limited to, the prevention of Financial Crime and Fraud including reporting obligations to the Money Laundering Reporting Officer

·     Maintain appropriate knowledge to ensure to be fully qualified to undertake the role. Complete all mandatory training as required to attain and maintain competence

Secondary duties:

·         Other related duties may be assigned based on evolving needs of the business

Bachelor and above in relevant discipline