About the role
Category: Technology
Location:
Responsibilities:
* 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. * The candidate must be able to apply these abilities to detect non-obvious risks or develop, test, and champion ideas to increase detection. * 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. * Research & develop Machine Learning models for security problems, in the areas of Networking, Application & Data. * Suggest, collect and synthesize requirements and create effective features. * Apply researchmethodologies to identify the Machine Learning models for the problem at hand.
Requirements
Preferred Qualifications:
* Domain expertise in Networking ( TCP/IP, HTTP) , Web Application Security (Bot detection ) is preferred * Experience working with relational and NoSQL/Graph databases * Unsupervised & Deep Learning Experience * Familiar with Big Data frameworks (Hadoop or Spark) and cloud infrastructures * Experience in applying Machine Learning techniques * Ability and willingness to multi-task and learn new technologies quickly
Details
Originally posted on Himalayas