Establish data modelling best practices, tooling, documentation and testing methodologies - ensuring models are highly maintainable and scales with complexity
Data Platform Engineering: Build and extend shared data platform capabilities spanning ingestion, storage, processing, orchestration, cataloguing and self-service tooling, so teams across SGX Group can deliver data capabilities safely and at speed.
Data Platform Engineering: Build and extend shared data platform capabilities spanning ingestion, storage, processing, orchestration, cataloguing and self-service tooling, so teams across SGX Group can deliver data capabilities safely and at speed.
Apply appropriate analytical methods including data profiling, descriptive statistics, correlation, segmentation, root-cause analysis, statistical process control and time-series analysis.
Ship to production and keep it running. With the support of our Data Engineering, Data Analytics, and ML Platform team, extend our inference serving layer to support experimentation across pricing strategies — revenue maximisation, optimal pricing, confidence thresholds, seasonal discounting — and handle the day-to-day of a live model: deployments, feature freshness, monitoring, drift detection, and root-causing issues when they surface.