VDart Inc
8 to 10 Year(s)
Responsibilities:Working with a dynamic, research-oriented Financial professionals on several ongoing concurrent projects, you are expectedPropose solutions and strategies to business challengesUndertake preprocessing of structured and unstructured dataAnalyze large amounts of information to discover trends and patternsBuild predictive and statistical models and machine-learning algorithmsCombine models through ensemble modelingPresent information using data visualization techniquesIdentify valuable data sources and automate collection processesCollaborate with engineering groups and product development teams to operationalize the models and techniques.Requirements:Master's Degree in Computer Science, Statistics, Applied Math or related field8+ years' practical experience with SAS, ETL, data processing, database programming and data analyticsProficiency with data mining, mathematics, and statistical analysis using Python/Java, R, SQL etc.Expertise in data munging with Excel, Tableau, SQL, and programming languages (i.e., Java/Python, SAS)Proficiency in understanding various data structures and common methods in data transformation.Excellent pattern recognition and predictive modeling skills.Experience working with Financial data model will be an assetFamiliarity with Scala, Java or C++ is an assetExperience using business intelligence tools and data frameworksExperience of data solution on AWS ====PGood Understanding of machine-learning and operations researchExcellent communication and presentation skills