Broadridge Financial Solutions Ontologist - Wealth Management in Newark, New Jersey
Broadridge, a global fintech leader with over $9 billion in market capitalization, provides communications, technology, data and analytics solutions. We help drive business transformation for our clients with solutions for enriching client-engagement, navigating risk, optimizing efficiency and generating revenue growth.
Broadridge employs approximately 10,000 full-time associates globally with a significant presence in North America, Europe, and Asia. Please visit our website at www.broadridge.com to learn more.
Broadridge is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other status protected by law. Click here to view the -EEO is the Law- poster.
-Our Associates Matter.Everyone Benefits from Diversity - Inclusion.Diverse - Inclusive Teams Drive Growth.-
Are you seeking an opportunity that offers growth and advancement? Broadridge is hiring! We're seeking a Lead Ontologist to work with Broadridge's Product and Technology teams. You will have the opportunity to design and implement product and domain-specific ontologies that semantically enrich Broadridge's core knowledge models.
Fluently translate natural language and business jargon into precise, complex knowledge representations
Synthesize and arbitrate disparate views of a knowledge domain
You will design and deploy ontologies, taxonomies, models and other structures to identify and fill knowledge gaps in the representation of firm assets, products, services, relations, and processes
Govern multiple large-scale enterprise business ontologies
Work with developers to design and implement technology solutions
You will execute Enterprise Data Governance program
Integrate unstructured, semi-structured, and well-structured data
You will monitor and apply industry standardization initiatives
BA or BS in Library Science, Information Science, Management Information Systems or related field
Master's Degree strongly preferred
3+ years of experience in data governance, ontology and taxonomy development, and content classification
Finance industry experience strongly preferred
Experience presenting complex topics in a concise way to Executive Management
Knowledge of capital markets, post-trade processing, and wealth management
Advanced degree in Computer Science, Mathematics, Philosophy, Linguistics, Library Science or related field
Knowledge of RDF/OWL and other ontology languages,
Experience with triple stores, graphs, document stores and other No-SQL databases
Proficiency in data analysis, semantic modeling, knowledge and ontology engineering
Strong logical and conceptual reasoning, strong attention to detail
All your information will be kept confidential according to EEO guidelines.