Morgan Stanley-posted 2 months ago
$150,000 - $210,000/Yr
New York, NY
Securities, Commodity Contracts, and Other Financial Investments and Related Activities

The Firmwide Data Office department is recruiting for an enthusiastic, dynamic, hands-on and delivery focused Ontologist / graph developer for an innovative program that plans to harness the power of Graph & Semantic Technologies to build an Enterprise Knowledge Graph - 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.

  • Participate in ontology creation, ontology management and semantic enrichment efforts
  • Work on strategies to leverage ontologies to facilitate natural language processing including fact extraction, document classification and query processing
  • Devise and implement processes to validate data in a semantic context and develop metrics and procedures for assessing, managing and characterizing datasets
  • Work with data analysts to design procedures to leverage knowledge graph data in a machine learning space
  • Contribute to data architecture and data management strategy design
  • Promote the creation of semantic data models and SPARQL endpoints to link quality data
  • Develop processes and procedures to integrate taxonomies into the knowledge graph environment
  • Participate in collaborating with the Firm's Ontology and Semantic Modeling consortium to develop standards and best practices
  • Collaborate with business and other technology teams to translate business requirements into innovative solutions implementing performant, scalable, resilient 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
  • Experience and expertise in W3C compliant semantic models experience (RDF, OWL and SPARQL)
  • Experience with relevant ontology development tools and industry standard knowledge graph database tooling
  • 5+ years complex enterprise scale data & metadata architecture experience
  • Demonstrable experience in developing mappings and transformation processes to take data from a relational paradigm into a knowledge environment
  • Strong problem-solving skills, business acumen, and demonstrated excellent oral and written communication skills with both technical and non-technical audience
  • Proficient in Python, Java, Jscript or other programming languages
  • Experience in utilizing ontology in developing natural language processing solutions
  • Experience utilizing graph data in a machine learning environment tools
  • Experience in creating data validation processes using SHACL, SPARQL or other rule languages
  • Experience in Financial Services working with various front-to-back business functions like Sales and Trading, Operations, Finance etc. or in an Information Management framework
  • 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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