Head of Private Banking Sales Technology

  • Competitive
  • New York, NY, USA
  • Permanent, Full time
  • Morgan Stanley USA
  • 23 Oct 18

Head of Private Banking Sales Technology

Company Profile
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.
As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

Technology
Technology works as a strategic partner with Morgan Stanley business units and the world's leading technology companies to redefine how we do business in ever more global, complex, and dynamic financial markets. Morgan Stanley's sizeable investment in technology results in quantitative trading systems, cutting-edge modelling and simulation software, comprehensive risk and security systems, and robust client-relationship capabilities, plus the worldwide infrastructure that forms the backbone of these systems and tools. Our insights, our applications and infrastructure give a competitive edge to clients' businesses-and to our own.

The Role
15+ Years of strong development and architecture experience.
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
Experience in closely working with application teams (Java etc.) and managing all the DB related activities such as DB modeling, design, development, maintenance and support
Demonstrate proficient skills in analysis and resolution of application performance problems. *LI-DC1

Qualifications:

Company Profile
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.
As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

Technology
Technology works as a strategic partner with Morgan Stanley business units and the world's leading technology companies to redefine how we do business in ever more global, complex, and dynamic financial markets. Morgan Stanley's sizeable investment in technology results in quantitative trading systems, cutting-edge modelling and simulation software, comprehensive risk and security systems, and robust client-relationship capabilities, plus the worldwide infrastructure that forms the backbone of these systems and tools. Our insights, our applications and infrastructure give a competitive edge to clients' businesses-and to our own.

The Role
15+ Years of strong development and architecture experience.
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
Experience in closely working with application teams (Java etc.) and managing all the DB related activities such as DB modeling, design, development, maintenance and support
Demonstrate proficient skills in analysis and resolution of application performance problems.

Architect, design, and develop database solutions including logical and physical data modeling, DB objects creation and tuning for various applications/products in wealth management domain
Closely work with business and applications teams in implementing the right database design and solution for the business applications
Conduct data model, data architecture and data integration design review sessions. Support business analysts and developers with data subject expertise, query building and optimization
Educate and evangelize application teams of the best practices on query building and optimization, data modeling and design
Develop a thorough understanding of the data definitions, domain values, data relationships, business rules, sources and data integration for each subject area
Work with client and business analysts to review their business requirements.
Responsible for design, development and maintenance of database schema and objects throughout the lifecycle of the applications.
Supporting implemented solutions by: monitoring and tuning queries and data loads, addressing user questions concerning data integrity, monitoring performance and communicating functional and technical issues.
Troubleshoot data issues and work with data providers for resolution

Skills Required:
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

Skills Desired:
Unix, Autosys
XML, Perl
Distributed applications using services and web based UIs
Unix, Shell Scripting, Perl
ETL Tools like Informatica