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Quantifind is a risk intelligence company that builds automated software solutions to streamline anti-money laundering and know-your-customer processes. The company serves financial institutions, including tier-one, regional, and digital banks, as well as federal, state, and defense government agencies. Its platform, Graphyte, is a pure-SaaS solution that harnesses artificial intelligence, machine learning, and external data to conduct risk screening, adverse media monitoring, credit risk assessments, and investigations.

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About Quantifind

Quantifind is a risk intelligence company that builds automated software solutions to streamline anti-money laundering and know-your-customer processes. The company serves financial institutions, including tier-one, regional, and digital banks, as well as federal, state, and defense government agencies. Its platform, Graphyte, is a pure-SaaS solution that harnesses artificial intelligence, machine learning, and external data to conduct risk screening, adverse media monitoring, credit risk assessments, and investigations.

Quantifind relies on over a decade of data science and machine learning research and development. Its technology focuses on natural language processing use cases such as entity resolution, document classification, knowledge graph construction, and topic modeling. The platform integrates internal financial data with thousands of public domain sources to uncover signals of risk, resolve entity ambiguities, and provide automated risk rankings for compliance operations.

The open roles indicate that Quantifind is actively building its data science and engineering teams. Current openings include Associate Data Scientist and Data Scientist roles located in Palo Alto, California. These positions involve applying expertise in statistics, computer science, and mathematics to solve complex engineering and natural language processing challenges within a collaborative and flexible work environment.

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