Design and develop resource scheduling systems for machine learning platforms, supporting model training, evaluation, and inference workloads across domains such as NLP, Computer Vision (CV), and Speech.
Perform customer due diligence and enhanced due diligence during the onboarding, periodic and trigger review of Financial Institutional customers (ie. Banks and NBFIs)
Provide comprehensive support to compliance operations by executing AML-related tasks, identifying and documenting compliance risks, and implementing solutions in alignment with established policies and procedures.
To conduct research of international best practices for national risk assessments in money laundering (ML), terrorism financing (TF), and proliferation financing (PF), including those in relation to legal persons and arrangements.
Perform sanctions screening against UNSC, OFAC, and domestic watchlists and monitor financial transactions for suspicious activities and ensure proper reporting and documentation are completed accurately and within required timelines as per industry and required standards.
Define the technical strategy and architecture for the AML platforms implementation, ensuring alignment with enterprise IT standards and business objectives.
Area A — Scientific ML & PINNs Methodology Origination: Originate and advance PINNs methodology — design physics-constrained loss function architectures, validate digital twin ML components against domain physics (with storage domain expert), and deliver validated prototypes with complete technical documentation to implement. As the sole PINNs methodology originator on the team — this capability cannot be delegated or substituted.
Own the deployment and operationalisation of ML models into production — building the infrastructure that takes models from development to live business systems
Apply AI/ML expertise to build scalable solutions in areas such as Generative AI, personalization, image and speech recognition, NLP, recommendation systems, and time series forecasting.
Apply AI/ML expertise to build scalable solutions in areas such as Generative AI, personalization, image and speech recognition, NLP, recommendation systems, and time series forecasting.
Manage end-to-end monthly payroll processing across multiple entities, ensuring accurate and timely salary payments in accordance with company policies and Singapore statutory requirements.