A major bank is seeking a Quantitative Analytics Specialist within the Enterprise Analytics and Data Science Team.
Knowledge Graph technology is an enterprise data management technology that leverages ontologies and machine learning to represent information in highly expressive and reusable ways. It ushers in a paradigm shift in how highly variable structured and unstructured information is linked and integrated using a common model. The Enterprise Knowledge Graph Solutions (EKGS) team is playing a key role within the bank to actualize the potential of knowledge graph. EKGS is developing novel capabilities that demonstrates how knowledge graph technology can better support the financial needs of our customers as well as improve risk management and operational capabilities.
The knowledge graph data scientist will advance the practice of data science at the bank by developing algorithms that leverage and train on knowledge graphs to demonstrate precision and lift over conventional methods. In particular the knowledge graph data scientist will develop methods to encode triples and chains of triples using graph neural networks and knowledge graph embedding techniques as a basis for novel analytics and machine learning algorithms. Some of the use cases where this approach will be leveraged is for semantic search, identity resolution, customer insights, automated mappings between physical data elements and business elements.
In this role, you will:
Required Qualifications, US:
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