Senior Ontologist, Institutional Research

Russell Tobin

Alpharetta (GA)

Híbrido

USD 220.000 - 227.000

Jornada completa

hace 7 horas
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Ventajas ofrecidas por este puesto de trabajo

Healthcare coverage
401(k) retirement plan
Life & disability insurance
Employee assistance program
Legal support
Pet insurance
Employee discounts

Descripción de la vacante

Russell Tobin’s client seeks a Senior Ontologist to advance institutional research through ontology and taxonomy development, semantic technologies, and NLP. The role is hybrid (3 days onsite, 2 remote) with a pay rate of $160–$165/hour on a temp-to-perm basis.

A minimum of 5 years in ontologies within finance is expected, with OWL, SPARQL, and SKOS skills. You will maintain the Brokerage Research Ontology and taxonomy, collaborate with data science and data providers, validate ML outputs, and

Formación

  • 5+ years applying ontologies and taxonomies in financial/economic research.
  • Proficient with OWL and SPARQL; familiar with SKOS and at least one other ontology.

Responsabilidades

  • Maintain and enhance msRo and Trending Topics Taxonomy.
  • Define concepts and entities; coordinate with business teams and reference data providers.
  • Lead NLP, ontology, and taxonomy projects with stakeholders.
  • Translate requirements into technical specs bridging business and tech teams.
  • Validate ML outputs with SME tools and testing.

Conocimientos

Ontology development
OWL
SPARQL
SKOS
NLP
Python
Shell scripting
Java/C++/C#
Data science concepts
Financial domain knowledge

Herramientas

Mondeca
Elasticsearch
Regular expressions

Descripción del empleo

Senior Ontologist, Institutional Research

Russell Tobin’s client is seeking a highly experienced Senior Ontologist to support institutional research initiatives through ontology and taxonomy development, semantic technologies, and natural language processing.

  • Pay Rate: $160–$165/hour
  • Employment Type: Temp-to-perm
  • Work Arrangement: Hybrid – 3 days onsite and 2 days remote per week
What You’ll Be Doing
  • Maintain and enhance the Brokerage Research Ontology (msRo) and Trending Topics Taxonomy.
  • Develop definitions for new concepts and entities and coordinate with internal business teams and external reference data providers.
  • Partner with business stakeholders to support NLP, ontology, and taxonomy-related projects.
  • Translate business requirements into technical specifications and serve as a bridge between business teams and technology partners.
  • Validate outputs from LLMs and other machine learning models using testing tools and subject matter expertise.
  • Collaborate with data science teams to incorporate quantitative results into unstructured research content.
  • Work with technology teams supporting Mondeca to improve named entity recognition (NER) and document tagging.
  • Support the accurate application of ontology and taxonomy rules across financial research documents.
  • Help improve search accuracy and document tagging within an Elasticsearch index containing hundreds of thousands of financial research reports.
  • Educate stakeholders on semantic technologies, ontologies, taxonomies, and relevant industry developments.
What You Bring
  • 5+ years of experience applying ontologies and taxonomies, preferably within financial or economic research.
  • Advanced hands-on experience with Web Ontology Language (OWL) and SPARQL.
  • Experience with SKOS and at least one additional industry ontology; GIST is a plus.
  • Strong writing and language skills, with the ability to create clear, accurate, and understandable definitions.
  • Familiarity with financial and economic analysis, including company filings, products and services, commodities, industry analysis, and macroeconomics.
  • Knowledge of financial market reference data, including tickers, pricing, and corporate ownership hierarchies.
  • Familiarity with financial instruments such as equities, bonds, structured products, currencies, and derivatives.
  • Experience with NLP techniques, including named entity recognition (NER) and regular expressions.
  • Python and/or shell scripting experience, along with familiarity with a major programming language such as Java, C++, or C#.
  • Understanding of data science and machine learning concepts.
Preferred Qualifications
  • Experience working with financial research content and large-scale document repositories.
  • Familiarity with Mondeca, Elasticsearch, and automated document tagging.
  • Experience collaborating with business stakeholders, data scientists, and technology teams.

PrideGlobal and it's affiliates offers eligible employee's comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, pet insurance and employee discounts with preferred vendors.

PrideGlobal and it's affiliates are an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.

PrideGlobal and it's affiliates are a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances.

Accommodations

We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us.

Only applicable for San Francisco Candidates : Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation

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