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Point72

Manages alternative investments across global markets

Data Engineer - Knowledge Graph

Data EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • At least 3 years of experience in knowledge graph engineering, graph database development, or related work.
  • Proven experience leading technical teams and mentoring engineers to develop technical talent.
  • Strong expertise in graph data modeling, ontology design, and semantic technologies.
  • Hands-on experience with at least one major graph database technology.
  • Advanced programming skills in Python or another high-level language.
  • Experience integrating data from diverse sources into unified knowledge graphs.
  • A track record of successfully implementing change management for technical initiatives.
  • Demonstrated ability to work effectively with challenging stakeholders.
  • Experience hiring and building specialized technical teams.
  • Commitment to the highest ethical standards.

Responsibilities

  • Design and implement a comprehensive financial knowledge graph architecture with sophisticated data models that capture complex financial relationships.
  • Create 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.
  • Champion the adoption of graph-based solutions across Market Intelligence.

Desired Qualifications

  • Passion for designing data models that represent sophisticated financial relationships and dependencies, transforming disparate data sources into a unified knowledge graph, and implementing graph algorithms to uncover patterns and relationships in financial data.
  • Ability to navigate organizational change management and drive adoption of new technologies across diverse teams.
  • Motivation to work in fast-paced environments requiring adaptability and strategic problem-solving.
  • Motivation to create graph-based solutions that enhance investment decision-making.
  • Deep expertise in graph data modeling and ontology design for financial applications.
  • Hands-on experience with graph databases such as Neo4j, TigerGraph, or Amazon Neptune, and strong coding skills for developing graph-based applications and algorithms.
  • Interpersonal skills and willingness to collaborate with stakeholders to achieve technical and business objectives.
  • Success mentoring engineers and helping them grow into graph specialists.
  • A methodical approach to complex data modeling and integration challenges.

About the Company

Point72

Manages alternative investments across global markets

Point72 manages alternative investment funds for investors seeking actively managed exposure to public and private markets. Its investment teams research companies, analyze market data and trade across equities, currencies, fixed income and other assets through fundamental, systematic and macro strategies. Cubist is its systematic investing business, while separate teams pursue venture capital and private credit opportunities. The firm provides portfolio managers with research, technology, risk management and operational support, and earns advisory fees and performance-based compensation under each fund's terms. Point72 was founded in 2014 and is headquartered in Stamford, Connecticut.

Company size
1,001-5,000
Company stage
Private
Total funding
$10.3B
Headquarters
Stamford, CT
Founded
2014

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