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The Product Designer in Knowledge Graph Intelligence develops user-centered designs for investment applications, collaborating closely with product managers and engineers while conducting user research and usability testing.

Conduct research to identify market anomalies, generate trading ideas, and develop systematic strategies focusing on high frequency/intraday opportunities.

Develop scalable frameworks for risk calculations, deliver quantitative analyses, and create innovative solutions in a collaborative team environment.

As a Data Engineer, you will design financial knowledge graphs, create graph processing pipelines, and implement best practices for knowledge graph development.

The Fundamental Researcher conducts qualitative research to uncover insights about various industries, synthesizing findings into reports for investment professionals.

The candidate will develop software for quantitative trading, manage data pipelines, and enhance trading efficiency while working in a collaborative team.

The candidate will improve the data ETL pipeline, build analytical tools, manage operations, and expand into new markets and asset classes.

As a Knowledge Graph Engineer, you will architect core entity data, integrate datasets into knowledge graphs, ensure data quality, and develop AI agents to automate workflows.

The Platform Project Manager will lead technology projects, ensuring delivery meets scope, schedule, and budget while collaborating with technical and business teams. Responsibilities include managing project plans, risks, and stakeholder communications, with a focus on infrastructure and platform initiatives.

Design and build machine learning infrastructure, manage data pipelines, implement MLOps frameworks, optimize model performance, and collaborate with data scientists.