Morgan Stanley-posted 3 months ago
$195,000 - $275,000/Yr
Full-time • Executive
New York, NY
5,001-10,000 employees
Securities, Commodity Contracts, and Other Financial Investments and Related Activities

The Firmwide Data Office (FDO) sits within Morgan Stanley Technology and focuses on data as a key priority within the overall Technology and the Firm strategy. We are a team of around 200+ people distributed globally and are engaged in a wide array of projects touching all business units (Institutional Securities, Investment Management, Wealth Management) and functions (e.g., Operations, Finance, Risk, Trading, Treasury, Resilience, Production Management) across the Firm. The team vision is a multi-year effort to improve data governance & management practices, to demonstrate data quality controls, simplify firm's data architecture and business processes front-to-back, empowering developers by providing consistent means of handling data, facilitate data-driven insights & decision making. We are working on an exciting new initiative to build an Enterprise Knowledge Graph by harnessing the power of Graph and Semantic technologies along with Big Data and other innovative technologies to map complex business, application, data, and infrastructure asset relationships to facilitate data-driven insights and decision making.

  • Leading diverse technology team contributing to this strategic initiative
  • Develop people through coaching, mentoring and management
  • Lead the design, development and support of full-stack, n-tier distributed applications
  • Act as a thought leader in the technical space through researching and knowing industry trends as well as cutting edge tools and technologies
  • 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
  • Bachelors or Masters Degree in Computer Science, Computer Engineering, Data Analytics or related field
  • 12+ years of extensive experience designing and implementing n-tier distributed applications, large scale data pipelines, Web applications
  • Successful experience leading high-performing development and engineering teams with a proven and demonstrable track record of execution and delivery
  • 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, Caching, Security/Authentication, API Design and Development - REST, GraphQL, JSON, Microservices Architecture, Experience architecting, designing and deploying applications on Microsoft Azure or AWS, Design Patterns, Object Oriented Design, Agile Development, TDD, BDD, Full software development life cycle, Implementing DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test-Driven Development to enable the rapid delivery of working code-utilizing tools like Jenkins, Gradle and Git, Scalability, High Availability, Failover, Databases - SQL, Stored Procedures, Query Tuning, Python Programming, Linux/Unix, Shell Scripting
  • Semantic and Graph Technologies - Graph DB / Triple Stores like Stardog, NoSQL DBs, SPARQL, Ontology, RDF, OWL, R2RML, Graph Analytics & Inferencing, Graph Visualization using components like D3
  • Experience building Chatbots and other analytics applications using LLMs, Machine Learning, Natural Language Processing (NLP), Vector DBs
  • Data Modeling, Ontology development
  • Experience with developing and deploying analytical products
  • Data Ingestion / ETL - using tools like NiFi, Informatica, Autosys
  • UI/Web Development - React, GraphQL, REST, JSON
  • Experience with ML Ops best practices and implementation
  • Experience in Financial Services working with various front-to-back business functions like Sales and Trading, Operations, Finance etc.
  • Comprehensive employee benefits and perks
  • Opportunities for career advancement within the company
  • Support for employees and their families at every point along their work-life journey
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