11:33 PM
Bangalore, Karnataka – Use statistical and machine learning techniques to create scalable risk management systems · Analyzing and understanding large amounts of historical business data for specific instances of risk or broader risk trends · Design, development and evaluation of highly innovative models for risk management · Working closely with software engineering teams to drive real-time model implementations and new feature creations · Working closely with operations staff to optimize risk management operations, · Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation · Tracking general business activity and providing clear, compelling management reporting on a regular basis · Research and implement novel machine learning and statistical approaches BASIC QUALIFICATIONS · A MS in CS machine learning, Statistics, Operational research or in a highly quantitative field · 5+ years of hands-on experience in predictive modeling and analysis · 5+ years SAS, R or Matlab experience… – Permanent – Full-time
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Research Scientist
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