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Detailed Job Description:

Good knowledge/experience in the Risk modeling, especially commercial risk NLU / NLP Good hands-on skills on Python, with good knowledge of NLTK libraries R Anomaly detection Neural Nets, deep learning algos, tensor-flow(TF) The goal is for this team to work with Quants, engineering folks and business to ideate and isolate signals from unstructured data, alternate data, multi-structured data, etc to better refine risk and fraud predictors.

Minimum years of experience*: 5

Interview Process (Is face to face required?) No