This is a remote position.

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  The Data Intelligence & Analytics Analyst must demonstrate critical thinking, analytical and problem-solving abilities, hands-on intelligence or data analysis skills, network analysis acumen, and intellectual curiosity is essential for data science tasks.
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  The candidate must be able to apply these abilities to detect non-obvious risks or develop, test, and champion ideas to increase detection.
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  The candidate should understand data science methods, and visualization techniques to leverage internal and external data to identify and develop ways to systemically detect financial crime risk.
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  Research & develop Machine Learning models for security problems, in the areas of Networking, Application & Data.
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  Suggest, collect and synthesize requirements and create effective features.
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  Apply research
  methodologies to identify the Machine Learning models for the problem at hand.

Requirements

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  Domain expertise in Networking ( TCP/IP, HTTP) , Web Application Security (Bot detection ) is preferred
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  Experience working with relational and NoSQL/Graph databases
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  Unsupervised & Deep Learning Experience
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  Familiar with Big Data frameworks (Hadoop or Spark) and cloud infrastructures
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  Experience in applying Machine Learning techniques
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  Ability and willingness to multi-task and learn new technologies quickly