Vice President-Analytics

Short Description

Closely work with business teams to understand the analytical products being used, asks and identify opportunities to re-design using scalable open-source big data technologies

Job Description

  • The Successful Candidate Should Have or Offer
  • Bachelor/Masters in Computer Science or related disciplines
  • 8-15 Years of experience in software architecture, design, development and testing.
  • Experience in building scalable, high-performance, reliable, highly available and large distributed systems with a high degree of autonomy
  • Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design
  • Strong object oriented skills. Deep expertise and very hands on programming experience in Core Java or Scala
  • Strong Experience using Big data batch and streaming tools within the Hadoop Ecosystem such as HDFS, HIVE, Impala, Pig, Spark, Hadoop etc.
  • Strong knowledge on Spark Streaming and MLib and love to work with open source technologies like Kafka, Storm, Flume ,HDFS.
  • Experience in working with any of the NO SQL Databases such as HBase, Mongo etc.
  • Experience in working on Machine Learning/Data Science programs and involved in developing and training machine learning models (Supervised/Semi-Supervised etc.)
  • Desire to be constantly learning new things
  • Well versed with Agile methodologies and experience in working with scrum teams

Responsibilities
  • Partner with business teams and develop analytical products and applications using Big Data Stack for Wealth Management
  • Closely work with business teams to understand the analytical products being used, asks and identify opportunities to re-design using scalable open-source big data technologies
  • Evaluate different open source technologies on the big data space and implement the best technology for the business use case
  • Design, develop and maintenance of analytical products & solutions throughout the lifecycle of the applications
  • Evangelize new open source technologies and implement and educate best development practices
  • Work with client and business analysts to review their business requirements.
  • Support implemented solutions by: tuning and code fix, addressing user questions concerning data or application, monitoring performance and communicating functional and technical issues.

Required Skills
  • Big Data Stack Spark, HDFS, HIVE, Impala, Pig, Hadoop
  • Develop & Implement Machine Learning/Data Science models
  • Building Batch and Streaming data applications
  • Strong SQL skills and experience with any DB technology

Desired Skills
  • Unix, Autosys
  • Reporting and Visualization Tools - Tableau etc

Vice President - Analytics
Mid-Senior-level Financial Services Full-time Management | Analyst Data Analyst | Big Data | Hadoop
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.