Senior Ontologist (Institutional Research)

PTR Global; Alpharetta (GA); On-site; USD 165,000 - 179,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401K contributions

PTO and sick leave

Job summary

PTR Global is seeking a Senior Ontologist / taxonomist in Alpharetta, GA, on a 12+ month contract with extension. The role requires 5+ years applying OWL to financial analysis, strong NLP/NER skills, and experience with Mondeca and Elasticsearch.

Onsite three days a week with compensation $120–$130/hr on W-2. You will maintain and expand ontologies (msRo, Trending Topics) and work with business and technology teams to ensure precise requirements, model validation, and accurate tagging for

Qualifications

• 5+ years’ experience applying OWL to financial/economic analysis
• Familiarity with SKOS and industry ontologies
• Strong definitions and precise language skills
• Understanding of financial instruments, markets and reference data
• Experience with NLP/NER and regular expressions

Responsibilities

• Maintain the Morgan Stanley Research Ontology (msRo) and Trending Topics Taxonomy and integrate with reference data
• Consult with business on NLP and ontology projects
• Bridge business stakeholders and technologists to ensure accurate requirements and implementations
• Assist in validation of results from LLMs and other models with automated tests
• Educate stakeholders on semantic technologies, ontologies and taxonomies
• Collaborate with data science to integrate quantitative results into unstructured content
• Support Mondeca and Elasticsearch workflows to ensure accurate tagging and search capabilities

Skills

OWL

SPARQL

SKOS

financial analysis

NLP

NER

Python

Java/C#

data science

Tools

Mondeca NLP platform

Elasticsearch

Job description

Senior Ontologist / taxonomist

Location: ALPHARETTA, GA (3 days onsite)

Duration: 12+ Months Contract with Extension

Job id – 180956

Job Description: 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 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 Morgan Stanley Research Ontology (msRo) 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 within Morgan Stanley 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 Mondeca 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 Mondeca system is properly applied to searches and documents in order to enhance search result accuracy.

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Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.

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Pay Range: $120- $130/hr. on W2

The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.

If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at [phone]. To report any concerns, please email us at [e-mail]

During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.

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