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Data Scientist
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- You are a full-stack data scientist, an experienced quantitative thinker who wants to develop further as both a data scientist and an engineer.
- You want to apply your expertise in statistics and computer science using Quantifind's state-of-the-art infrastructure to solve problems in Natural Language Processing such as Entity Resolution, Document Classification, building Knowledge Graphs and Topic Modeling.
- Quantifind helps some of the world's biggest banks catch money laundering and fraud.
- In financial crimes risk management, Quantifind's solution uniquely combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes.
- Strong programming experience in two or more of the following: Scala / Java, R, Python
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