Data Engineer, Knowledge Graph

About the Role

On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers collaborate to build compliant research products. We look for 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.

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.
• Champion the adoption of graph-based solutions across Market Intelligence.

Qualifications

• 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 (Neo4j, TigerGraph, Amazon Neptune, etc.).
• Advanced programming skills in Python or another high-level language.
• Experience with data integration from diverse sources into unified knowledge graphs.
• 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.

Skills

• Passion for designing data models that represent sophisticated financial relationships and dependencies.
• Satisfaction in transforming disparate data sources into a unified, interconnected knowledge graph and implementing graph algorithms to uncover hidden patterns and relationships in financial data.
• Ability to navigate organizational change management and drive adoption of new technologies across diverse teams.
• Energized by working with stakeholders and productive collaboration that advances technical initiatives.
• Motivated by fast-paced environments requiring adaptability and strategic problem-solving skills.
• Driven by creating graph-based solutions that enhance investment decision-making processes.
• Methodical approach to solving complex data modeling and integration challenges.
• Strong interpersonal skills and willingness to collaborate with stakeholders to achieve technical and business objectives.
• Demonstrated success in mentoring engineers and helping them grow into graph specialists.
• Ability to "elevate the room" through work ethic, curiosity, and solution-oriented attitude.

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

Pay

The annual base salary range for this role is $200,000-$300,000, which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary based upon geographic location, work experience, education, and/or skill level, among other things.

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.