Senior Ontology Engineer - Financial NLP & Taxonomy Lead

Lenmar Consulting Inc; Alpharetta (GA); Hybrid; USD 188.000 - 267.000; Vollzeit

Zusammenfassung

Lenmar Consulting Inc. invites a Senior Ontologist to lead Institutional Research ontology initiatives and taxonomic design for advanced financial analysis.

The hybrid role in Alpharetta, GA, partners with data science and business teams to maintain ontologies, support NLP/NER projects, and ensure accurate tagging and search across hundreds of finance reports. Expertise in OWL and SPARQL, SKOS, and financial data, plus Python or Java/C# development, will empower this position to shape technology

Qualifikationen

• Senior skills in OWL and SPARQL
• Familiarity with SKOS and industry ontologies
• Excellent language skills; craft precise definitions
• Understanding of financial analysis, filings, macroeconomics
• Familiarity with Wall Street reference data and instruments
• Experience with NLP/NER and regex
• Programming in Python and/or shell; Java/C++/C# experience
• Knowledge of data science and machine learning

Aufgaben

• Maintain the Research Ontology and Trending Topics Taxonomy with new concepts
• Consult with business on NLP projects involving ontology data
• Bridge between business stakeholders and technology implementers
• Aid validation of LLMs and other models using automated tools
• Educate stakeholders on semantic technologies, ontologies, and taxonomies
• Work with data science to integrate quantitative results into unstructured content
• Collaborate with vendor platform tech for NER and document tagging
• Work with Elasticsearch index to improve search result accuracy

Kenntnisse

OWL

SPARQL

SKOS

Python

Java

C++

NLP

NER

Tools

Elasticsearch

Jobbeschreibung

Lenmar Consulting Inc. invites a Senior Ontologist to lead Institutional Research ontology initiatives and taxonomic design for advanced financial analysis.

The hybrid role in Alpharetta, GA, partners with data science and business teams to maintain ontologies, support NLP/NER projects, and ensure accurate tagging and search across hundreds of finance reports. Expertise in OWL and SPARQL, SKOS, and financial data, plus Python or Java/C# development, will empower this position to shape technology