Description:

Join Socure's Watchlist Data Science team to enhance global AML compliance by screening entities in real-time across various databases.
Work on entity matching, classification, and advanced NLP models to improve fraud detection for financial institutions.

Requirements:

Master's or PhD in Computer Science, Computational Linguistics, Statistics, Applied Mathematics, or equivalent experience.
7+ years in data science/machine learning with a focus on NLP, entity resolution, or information extraction.
Experience in AML, sanctions screening, or financial crime detection preferred.
Proficiency in Python, SQL, and major ML libraries (PyTorch, spaCy, HuggingFace Transformers).
Strong communication skills to convey technical concepts to non-technical audiences.

Opportunity to work on impactful projects in the digital economy.
Collaborative environment with a focus on technical rigor and continuous improvement.

Skills