2 months ago
Base Salary
$200k - $300k/yr
Responsibilities
- Design and implement a comprehensive financial knowledge graph architecture and sophisticated data models.
- Create graph processing pipelines for data ingestion, transformation, knowledge extraction, and advanced analytics.
- Define and implement organization-wide best practices for knowledge graph development, implementation, and maintenance.
- Champion adoption of graph-based solutions across the Market Intelligence team.
- Collaborate with investment professionals, Compliance, product managers, data scientists, engineers, and other stakeholders.
- Mentor engineers and help develop specialized graph engineering talent.
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.
- 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 programming language.
- Experience integrating diverse data sources into unified knowledge graphs.
- Track record of implementing change management for technical initiatives.
- Ability to work effectively with challenging stakeholders.
- Experience hiring and building specialized technical teams.
- Commitment to the highest ethical standards.
Benefits
- Fully paid health care benefits
- Generous parental and family leave policies
- Volunteer opportunities
- Support for employee-led affinity groups
- Mental and physical wellness programs
- Tuition assistance
- 401(k) savings program with employer match
Tech Stack
Neo4jPython
Categories
Data Engineering
About Point72
Point72 is a global alternative investment firm that deploys fundamental and systematic strategies across equities and other asset classes for institutional and qualified investors. The firm earns management and performance fees and also invests partner capital. Founded in 2014 by Steven A. Cohen and headquartered in Stamford, Connecticut, it operates a multi-manager platform with offices worldwide and a large in-house technology organization supporting research, trading, data, and risk.