Ontologist

Overview

Remote
Full Time

Skills

Tier 1
Streaming
Data Science
Product Engineering
Roadmaps
Financial Technology
Analytical Skill
Workflow
Machine Learning (ML)
Reasoning
Algorithms
Prototyping
Meta-data Management
Data Structure
Data Governance
Analytics
Recruiting
Computer Science
OWL
Resource Description Framework
SPARQL
Neo4j
Graph Databases
Semantic Technologies
Science
Linguistics
Ontologies
Semantics
Modeling
Finance
Securities
Reference Data
Data Integration
Artificial Intelligence
Data Engineering
Virtual Team
Management
Managed Services
Collaboration
Partnership
Value Engineering
Effective Communication
Law

Job Details

Title: Ontologist
Location : Remote
Target Start Date : ASAP
Type: Direct Hire

About the Company
We are a global financial data and analytics software company undergoing a high-visibility transformation as we modernize our legacy technology and accelerate our adoption of AI-powered applications. Our teams partner with tier-1 financial institutions and handle some of the world's largest structured and unstructured financial datasets. As part of this transition, we are investing in our Knowledge Engineering, Ontology, and Graph Data Science capability-and expanding a team that already includes more than 40 specialists globally.
We are seeking both Senior and Mid-Level Ontologists who can help design the next generation of financial knowledge systems that power analytics, automation, and AI/ML products.

Role Overview
As an Ontologist, you will design, implement, and maintain ontologies and knowledge models that structure complex financial concepts, data streams, and workflows. You will work closely with AI, Graph Data Science, Product, Engineering, and multiple internal domain teams to ensure our knowledge frameworks are consistent, scalable, and optimized for intelligent applications.
This role is ideal for individuals excited by large datasets, complex semantic modeling challenges, and the opportunity to influence the AI roadmap of a mature, global financial technology organization.

Key Responsibilities
Ontology & Knowledge Modeling
  • Design, build, and evolve domain ontologies covering financial entities, instruments, markets, regulatory concepts, and analytical workflows.
  • Develop knowledge graphs and semantic data structures that support AI/ML pipelines, search, recommendation, and reasoning tasks.
  • Ensure conceptual alignment across multiple internal product lines and data sources.
AI & Graph Collaboration
  • Partner with Graph Data Scientists to integrate ontologies into graph algorithms, embeddings, and intelligent applications.
  • Contribute to AI prototypes and production-grade systems that rely on ontology-backed knowledge.
  • Participate in the design of context-aware and explainable AI models leveraging graph metadata.
Data Integration & Governance
  • Define ontology-driven data standards, taxonomies, and controlled vocabularies.
  • Map legacy data structures into modern semantic schemas and knowledge graph architectures.
  • Work with data governance and engineering teams to ensure scalable, future-proof solutions.
Cross-Functional Partnership
  • Collaborate with the Director of AI Initiatives and partner teams across AI, Analytics, Data Engineering, Product, and Architecture.
  • Present ontology designs, modeling decisions, and system impacts to senior technical stakeholders.
  • Support strategic hiring conversations by shaping capability needs and contributing to technical assessments.


Qualifications
Required (Mid-Level, 4-7 years)
  • Master's degree in Ontology, Knowledge Engineering, Semantic Technologies, Information Science, Computer Science, AI, or a related field.
  • 4+ years of hands-on experience building ontologies or knowledge models in industry or academia.
  • Proficiency with OWL, RDF, SPARQL, SHACL, or similar standards.
  • Solid understanding of graph databases (e.g., Neo4j, GraphDB, Stardog, TigerGraph).
  • Experience modeling complex domains with high-volume data.
Required (Senior, 7-10+ years)
  • PhD strongly preferred in Ontology, Knowledge Representation, Semantic Technologies, Logic, Knowledge Science, Linguistics, or related quantitative fields.
  • Industry experience delivering ontology-based systems at scale.
  • Experience leading ontology or semantic modeling initiatives.
  • Ability to influence architectural decisions and guide internal stakeholders.
Preferred
  • Experience working with financial datasets (markets, securities, reference data, risk, ESG, regulatory).
  • Exposure to multimodal data integration or AI-driven knowledge systems.
  • Familiarity with large-scale data engineering pipelines.
  • Ability to work in a globally distributed team environment.

Welcome to ConsultNet, SaltClick, and Omni. As a premier national provider of technology talent and solutions, our expertise spans across project services, contract-to-hire, direct placement, and managed services, both onshore and nearshore.

Celebrating more than 25 years of partnership with a diverse client base, we've crafted rewarding opportunities for our consultants, fostering high-performing teams that deliver impactful results.

Over the last few years, thousands of consultants have found their calling with us in roles that have made a meaningful impact on their lives, enhanced their career, challenged them, and propelled them towards achieving their personal and professional goals. At ConsultNet, we believe effective communication is crucial in aligning the right job with your unique skills and professional aspirations. To us, it's all about the personal approach we take and the values we uphold.

Our comprehensive service offerings cover a wide range of technology positions across key markets nationwide. Client more at .

We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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