Job Description
Your job
Research state‑of‑the‑art data science and NLP methods to identify entities hidden within payment data.Develop AI and machine learning models - especially transformer‑based models at the character level - to extract entity information from financial transactions.Investigate the suitability and performance of transformer architectures for entity extraction in the context of counterparty identification.Design and implement methods to monitor the correctness, robustness, and ongoing quality of the developed models.Work with Python and PySpark in Databricks to build, train, and evaluate data science solutions.Transform your prototypes into internal data science products that can be used operationally within the Detecting Financial Crime (DFC) domain.Report your ideas, research findings, and progress through written documentation and presentations to ensure knowledge sharing and structured feedback, as we...
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