Semantic and Graph Technology - Application Development Lead - ED
MStream
 New York, NY

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 modeling 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.

DESCRIPTION

Team Profile (Data Center of Excellence)

The Data Center of Excellence department is recruiting for an enthusiastic, dynamic, hands-on and delivery focused software development lead for an innovative program that plans to harness the power of Graph & Semantic Technologies to solve complex business problems and deliver value to various business divisions.

The team vision is a multi-year effort to simplify firm?s data architecture and business processes front-to-back with goals of reducing infrastructure and manpower costs, improving the ability to demonstrate control of data, empowering developers by providing consistent means of handling data, facilitate data-driven insights & decision making, and providing a platform to implement future change initiatives faster, cheaper and easier.

Responsibilities

  • Lead the design, development and support of n-tier distributed applications
  • Collaborate with business and other technology teams to translate business requirements into innovative solutions implementing performant, scalable, resilient distributed applications
  • Work closely with business and technology stakeholders to align development priorities & planning with product and technology roadmap
  • Develop people through coaching, mentoring and management
  • Act as a thought leader in the technical space through researching and knowing industry trends as well as cutting edge tools and technologies

Requirements

  • 8 years of extensive experience designing and implementing n-tier distributed applications, large scale data pipelines, Web applications
  • Experience leading high-performing development and engineering teams
  • Strong problem-solving skills, business acumen, and demonstrated excellent oral and written communication skills with both technical and non-technical audiences
  • Experience & expertise across following aspects:
    • Java - Core Java, Multithreading, Spring, API development, Caching, Security/Authentication
    • Design Patters, Object Oriented Design, microservices architecture
    • Semantic and Graph Tech - Graph DB / Triple Stores like Stardog, NoSQL DBs, SPARQL, Ontology, RDF, OWL, R2RML, Graph Analytics & Inferencing, Graph Visualization using components like D3
    • Databases - SQL, Stored Procedures, Query Tuning
    • Data Ingestion / ETL - Python, Java, Autosys
    • UI/Web Development ? Angular, React, GraphQL, REST, JSON
    • Data Modeling, Ontology development
    • Linux/Unix, Shell Scripting
    • Agile Development, TDD, BDD
    • Scalability, High Availability, Failover
    • SCM tools such as GIT
  • Bachelor's degree in Computer Science, Software Engineering or related field

Desired Skills:

  • Experience building Chatbots and other analytics applications using AI, Machine Learning and Natural Language Processing (NLP)
  • Experience utilizing Artificial Intelligence & Machine Learning techniques along with Process and Task Mining to generate insightful business process predictions and prognostics
  • Experience in Financial Services working with various front-to-back business functions like Sales and Trading, Operations, Finance etc.