Knowledge Graph Engineer

Point72 • New York, NY

1d

About The Position

On the Knowledge Graph Intelligence team, you’ll work alongside product managers, engineers, and data scientists to build the next generation of intelligent systems through graph technology. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision-making and enhance how we build and operate our platforms and applications.
In this role, you will architect the future state of the firm's core entity data, ensuring it can support advanced analytics and AI workflows. Specifically, you will:

Requirements

• 5+ years of experience in knowledge engineering, data engineering, or backend development.
• Deep understanding of W3C knowledge engineering standards including, RDF, SPARQL, OWL, and SHACL.
• Proven experience with Master Data Management (MDM) and complex entity resolution.
• Proficiency in database systems, indexing, and query optimization.
• Applied knowledge of ontology engineering methodologies.
• Strong programming skills.
• Commitment to the highest ethical standards.

Nice To Haves

• Familiarity with financial datasets, market data, or alternative data is a strong plus.

Responsibilities

• Integrate structured and unstructured datasets into the enterprise knowledge graph.
• Design and expand the core ontologies underpinning the graph architecture.
• Enforce data quality and consistency across the graph using SHACL shapes and validation metrics.
• Evolve our entity master to capture the complexity of our environment without sacrificing precision.
• Drive accurate entity resolution using methodologies and dedicated tooling.
• Optimize queries and graph structures to ensure high performance at scale.
• Develop AI agents and LLM pipelines to automate knowledge extraction and engineering workflows.

Benefits

• Fully-paid health care benefits
• Generous parental and family leave policies
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBT+ community
• Mental and physical wellness programs
• Tuition assistance
• A 401(k) savings program with an employer match and more

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees