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Candidate should be able to work in a dynamic environment with limited or no supervision. Should be comfortable and manage time working with global team on multiple initiatives
Candidate will work with the MSAS Big Data & Analytics team, based out of Bangalore, working on various deliveries. This candidate will be reporting to the Local Analytics lead in Bangalore and work in collaboration Global Analytics and Big Data team in NYC. Candidate will be working hands-on on analytical projects with or without big data development and be responsible for project delivery, execution and support. Candidate should be able to work in a dynamic environment with limited or no supervision. Should be comfortable and manage time working with global team on multiple initiatives. Candidate will be able to extract, explore, mine and experiment with data to answer critical business problems.
Primary Skills / Must Have
Experienced professional with at least 8 years of experience working across Analytics & Machine Learning domain.
Proficiency in machine learning and data mining techniques Feature engineering, regression, classification, clustering, time series analysis, anomaly detection etc.
Strong understanding of Statistics - probability theory and distributions, inferential statistics etc.
Demonstrable track record of implementation of ML solutions in production especially around scalability and performance
Strong leadership qualities and prior experience in managing a geographically distributed team
Extensive experience in Data Analysis - Skilled in uncovering insights and identifying patterns.
Proven experience in predictive modelling using R/Python.
Strong programming background in at least one - Java, Scala or other object oriented programming languages.
Must have strong SQL experience
Exposure to Big Data technologies HADOOP, HIVE, PIG, Spark-MLlib
NLP & Text Mining Experience is a big plus.
Ability to work in fast paced and dynamic environment.
Excellent Communication and presentation skills
Secondary Skills / Desired Skills
Expertise in handling large data volumes MPP databases like Teradata/Greenplum
Experience with visualization tools like Tableau, BOXi exposure will be helpful.
Experience in Finance Industry
Data Science - VP
Morgan Stanley mobilizes capital to help governments, corporations, institutions and individuals around the world achieve their financial goals. For over 75 years, the firms reputation for using innovative thinking to solve complex problems has been well earned and rarely matched. A consistent industry leader throughout decades of dramatic change in modern finance, Morgan Stanley will continue to break new ground in advising, serving and providing new opportunities for its clients.
Morgan Stanley is committed to maintaining the first-class service and high standard of excellence that have always defined the firm. At its foundation are four core values putting clients first, doing the right thing, leading with exceptional ideas and giving back that guide its more than 55,000 employees in 1,200 offices across 43 countries.