Anomaly & Risk Discovery: Develop advanced methods to detect anomalies, outliers and risk signals across tabular, time-series, text, image data, applying techniques such as supervised, unsupervised and self-supervised learning, time-series and tabular foundation models, and graph neural networks.
Provide deep technical expertise in analytics, search, streaming, and governance (Redshift, Athena, EMR, Glue, Kinesis, MSK, OpenSearch, Lake Formation, DataZone, SageMaker Unified Studio, S3 Tables, QuickSight) across ASEAN's enterprise, public sector, and digital-native customers
Turn data into insight — source, clean, and interpret TradFi market data, opportunities, and competitive positioning, working closely with our data team
Interactive Dashboard Development & Visualisation: Design, build, and maintain live interactive dashboards using corporate tools (e.g., Power BI) to track PON performance, pipeline metrics, and operational KPIs.
Being part of an inclusive and values driven organisation , one that embraces and celebrates our unique diversity, across our teams, business functions, and geographies.
Join a global automotive technology company developing next-generation semiconductor solutions. You will be in charge of developing advanced semiconductor data analytics capabilities to understand silicon performance, yield, and product readiness for mass production.
Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, Engineering, or related field, with 3-5 years of experience in Data Engineering, Analytics Engineering, or Data Platform development.
Engage finance and internal audit stakeholders across the public sector to understand business needs and pain points, translate these into product and analytics requirements, and support the adoption of data-driven solutions through outreach, engagement and capability-building activities.
Continuously review how sustainability requirements are reflected in procurement processes (e.g., supplier qualification, sourcing, contracting, supplier management) and identify areas for improvement.