E*TRADE from Morgan Stanley ยท 3 months ago
Lead Data & Analytics Engineer - VP
New York, New York, United States of America
Full-time
Onsite
Mid, Senior Level
$150K/yr - $210K/yr
5+ years expE*TRADE from Morgan Stanley is seeking a Lead Data & Analytics Engineer to join their Firmwide Data Office. The role involves participating in ontology creation, developing data validation processes, and collaborating with various teams to translate business requirements into innovative solutions.
BankingFinanceFinancial Services
Responsibilities
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
Work to 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
Work closely with business and technology stakeholders to align development priorities & planning with product and technology roadmap
Act as a thought leader in the technical space through researching and knowing industry trends as well as cutting edge tools and technologies
Qualification
Required
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
Bachelor's degree in information science, computer science, library science, computational linguistics, mathematics, philosophy or related discipline
Preferred
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
Benefits
Commission earnings
Incentive compensation
Discretionary bonuses
Other short and long-term incentive packages
Other Morgan Stanley sponsored benefit programs
Company
E*TRADE from Morgan Stanley
E*TRADE from Morgan Stanley is a pioneer in the online brokerage industry.
1001-5000 employees
H1B Sponsorship
E*TRADE from Morgan Stanley has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (3)
Funding
Current Stage
Public CompanyTotal Funding
unknown2020-02-20Acquired
1996-08-16IPO
Leadership Team
Julia Miller
Executive Director, Creative Services
Recent News
2025-11-07
2025-10-14
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