Apply cross-asset knowledge to portfolio construction, asset allocation, and risk management, including equity and fixed-income applications. Assess performance, exposures, and the investment implications of model outputs.
Pipeline development through a combination of cold calling, email campaigns and market sector knowledge/intelligence. Adequate pipeline to ensure over-achievement within the designated territory.
Data Engineering and Integration: Build the data and knowledge pipelines required for AI use cases, with a focus on reliable ingestion, preparation, retrieval, and access-control-aware use of information.
The role requires strong understanding of Collections processes, batch and online interfaces, legacy system behavior, migration, data conversion, reconciliation, and system dependencies across banking applications. Exposure to Bank Sector Client’s application landscape, internal processes, cross-system interfaces, and SDM documentation standards is preferred.
Data Engineering and Integration: Build the data and knowledge pipelines required for AI use cases, with a focus on reliable ingestion, preparation, retrieval, and access-control-aware use of information.
Develop executive-level proposals, value narratives and statements of work that clearly articulate client outcomes and Mastercard’s differentiated value.