**Role Overview**  
We are seeking an accomplished **Senior Data Scientist** with expertise in **Semantic and Graph Technologies**, particularly in **RDF, W3C standards, OWL, SPARQL**, and **ontologies**. The role involves parsing US companies’ SEC financial filings (XBRL/XML) into RDF format to construct a semantic graph. You will also extend taxonomies and define a holistic ontology based on XBRL and other well-established financial taxonomies (e.g., OMG frameworks, OpenFIGI, SBRM, FIBO, ISO standards), and develop an extensive ontology to manage complex financial data structures.

**Responsibilities**

*   **US SEC Filing Data Ingestion**: Build a comprehensive database of financial SEC filings (10-K, 10-Q, 8-K) for US-listed companies. These filings are reported in XBRL (XML) format and need to be parsed into RDF to build semantic graphs. Begin with a company (e.g., Amazon) and expand to a broader universe.
*   **Ontology Development**: Leverage various pre-defined taxonomies (XBRL, SRT, FIBO, etc.) to develop a unified ontology that will serve as the “golden source of truth” for a **Defining Knowledge Graph (DKG)**.
*   **Query Graph and Generate XML Output**: Use SPARQL or other query languages to query the DKG and generate structured, linked financial statements, optionally triggered via basic LLM prompts.

**Nice to Have**

*   Experience parsing unstructured data using NLP, Named Entity Disambiguation (NED), and building vector databases
*   Ability to build real-time data pipelines that align with existing taxonomies or ontologies, and extend them as needed
*   Familiarity with the finance domain, including reading SEC filings and understanding financial terminology

Sole

Financial Analysis