Lead Financial Data Ontologist & Taxonomy Architect

Polygon.io, Inc; Northern (KY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Comprehensive medical plans

401(k)

Unlimited time off

Job summary

Massive seeks a Principal Financial Data Ontologist to design and govern foundational taxonomy, symbology, and entity models for global markets. This hybrid role blends financial domain expertise with data modeling, classification science, and light prototyping.

You will ensure academically defensible, globally consistent systems for identifying, naming, and relating instruments and datasets. You will own semantic clarity and data model rigor across assets and products.

Qualifications

• Experience with reference data, symbology, taxonomy in a market data setting.
• Ability to design rigorous, explainable classification systems.
• Proficiency in Python or SQL for prototyping and data exploration.
• Strong written clarity to produce formal definitions and taxonomy decisions.
• Familiarity with ontology frameworks or graph modeling is a plus.

Responsibilities

• Design and govern cross-exchange symbology and identifiers for global securities.
• Create rigorous classification systems for industries, instrument types, and events.
• Develop unified entity and relationship models for market participants and instruments.
• Build cross-identifier mappings across major standards and ensure lineage tracking.
• Produce documentation detailing definitions, rules, and models behind taxonomies.

Skills

Reference data

Symbology

Taxonomy

Classification science

Python/SQL prototyping

Academic rigor

Written clarity

Ontology/graph modeling

Education

Classification science / information architecture / ontology

Tools

OWL

RDF

Neo4j

Job description

Massive seeks a Principal Financial Data Ontologist to design and govern foundational taxonomy, symbology, and entity models for global markets. This hybrid role blends financial domain expertise with data modeling, classification science, and light prototyping.

You will ensure academically defensible, globally consistent systems for identifying, naming, and relating instruments and datasets. You will own semantic clarity and data model rigor across assets and products.