Ontologist

Lenmar Consulting Inc; Alpharetta (GA); Hybrid; USD 188,000 - 267,000; Full time

Job summary

Lenmar Consulting, Inc. seeks a Senior Ontologist for Institutional Research to advance ontology and taxonomy efforts in financial analysis. The role is hybrid, with 3 days in office and 2 remote per week, supporting business stakeholders and technology teams.

You will maintain ontologies, collaborate with data science, validate model outputs, and apply semantic technologies to financial content and reporting. Strong expertise in OWL, SPARQL, and SKOS is essential.

Qualifications

• Experience applying OWL to financial/economic analysis.
• Familiarity with SKOS and industry ontologies.
• Strong ability to craft precise definitions in formal ontologies.
• Knowledge of financial instruments and markets is required.

Responsibilities

• Maintain the Research Ontology and Trending Topics Taxonomy with new definitions.
• Consult with business on NLP projects involving ontology data.
• Serve as bridge between business and technology teams to ensure requirements are faithfully implemented.
• Assist in validation of results from large-language models and other models with automated tests.
• Educate stakeholders on semantic technologies and taxonomies in the industry.
• Collaborate with data science to integrate quantitative results into unstructured content.
• Coordinate with platform technologists on NER and document tagging and search indexing.

Skills

OWL

SPARQL

SKOS

NLP

NER

Python

Java

C++

C#

Tools

OWL Tools

ELK Stack

Job description

Senior Ontologist, Institutional Research

Rate $165/hour W2

Hybrid - 3 days in office, 2 remote per week

An ontologist and taxonomist with 5+ years experience applying the Web Ontology Language (OWL) to problems in financial and economic analysis

Skills Required

• Ontology languages: senior skills in OWL and SPARQL preferred, but ontology language experience required
• Familiarity with SKOS and at least one other industry ontology; familiarity with gist a plus
• Excellent language skills; skilled at crafting accurate and comprehensible definitions
• Familiarity with the principles of financial and economic analysis, including company filings and reports; products, services, and commodities; industry analysis; macroeconomic factors; etc.
• Familiarity with Wall Street-type reference data, including tickers, prices, corporate ownership hierarchies
• Familiarity with the full variety of financial instruments: stocks, bonds, structured products, currencies, and their derivatives
• Skilled at natural-language processing (NLP), including named entity recognition (NER), regular expressions, etc.
• Programming languages: familiarity with scripting languages such as Python and/or shell; some experience in at least one major programming language such as Java, C++, or C#
• Familiarity with data science and machine learning

Responsibilities And Duties

• Maintain the Research Ontology and Trending Topics Taxonomy, adding definitions of new concepts and entities as they arise in the world of financial analysis. Coordinate these artifacts with existing reference data and imported from external providers.
• Consult with the business on projects involving natural-language processing and related ontology and taxonomy data.
• Work as a bridge between business stakeholders and technology implementers to ensure that requirements are accurately transmitted to implementers and accurately fulfilled in our systems.
• Aid in the manual and automatic validation of results from large-language models (LLMs) and other models, using automated testing tools and techniques and your own knowledge.
• Educate business and technology stakeholders on semantic technologies, ontologies, and taxonomies, including related developments in the industry.
• Work with the data science team to integrate quantitative results into unstructured content.
• Work with technologists supporting the vendor platform for named-entity recognition and document tagging. Ensure that that system's rules apply NER correctly based on the ontology and taxonomy.
• Work with technologists supporting the Elasticsearch index of hundreds of thousands of financial analysis reports. Work to ensure that the tag output of the system is properly applied to searches and documents in order to enhance search result accuracy.

Cindy Wing

Lenmar Consulting, Inc. (A Kellton Company)

1440 Plaza Five

Harborside Financial Center

Jersey City, NJ 07311

T: 201.946.1777 ext. 4010

[e-mail]

www.lenmarit.com