Point72

Point72

Data Engineer - Knowledge Graph

New York, New York

Sponsorship not specified$200k-$300kDetected 23 days ago
PythonAlgorithmsData ScienceExcelResearchLeadershipCollaborationProblem SolvingMentoringAdaptability

Stay score

odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • You'll work alongside a talented team with diverse skills, backgrounds, and perspectives.
  • We look for other bright, motivated, and collaborative people to join our team and grow with us-a majority of the leaders in our group were promoted from within.
  • What's excites you • You are passionate about designing data models that represent sophisticated financial relationships and dependencies.

Responsibilities

  • Design and implement a comprehensive financial knowledge graph architecture with sophisticated data models that capture complex financial relationships.
  • Create robust graph processing pipelines for data ingestion, transformation, knowledge extraction, and advanced analytics capabilities.
  • Define and implement best practices for knowledge graph development, implementation, and maintenance across the organization.
  • We value your proven ability to build and lead engineering teams through complex technical implementations. Your strong track record of hiring and developing technical talent in specialized domains will be essential as we grow our knowledge graph capabilities.
  • We value interpersonal skills and a willingness to collaborate with stakeholders to achieve technical and business objectives.
  • Proven experience leading technical teams and mentoring engineers to develop technical talent.
  • Strong expertise in graph data modeling, ontology design, and semantic technologies.
  • Experience hiring and building specialized technical teams.

Requirements

  • Hands-on experience with at least one major graph database technology.
  • Experience with data integration from diverse sources into unified knowledge graphs.
  • You are passionate about designing data models that represent sophisticated financial relationships and dependencies.
  • You are energized by working with stakeholders and productive collaboration that advances technical initiatives.
  • You are motivated by fast-paced environments that require adaptability and strategic problem-solving skills.
  • You are driven by creating graph-based solutions that help enhance investment decision-making processes.
  • Your hands-on experience with graph databases (Neo4j, TigerGraph, Amazon Neptune, etc.) and strong coding skills focused on developing graph-based applications and algorithms will drive our technical success.

Skills

  • A Career with Point72's Market Intelligence Team

Compensation

  • $200k-$300k

Benefits

  • We invest in our people, their careers, their health, and their well-being.

This listing is sourced directly from Point72's careers page and normalized into a canonical job model.