Design, build, and maintain a Data Lake for a growing number of datasets. Responsibilities include architecting data storage, configuring compute clusters, and ensuring data quality and governance.

The internship involves analyzing large datasets, creating visual reports, and collaborating with traders and engineers in high-frequency trading.

Source and engage technical and quantitative candidates, maintain pipelines, perform initial screening, run outreach campaigns, coordinate interviews, update the ATS, track sourcing metrics, and support market/talent research.

Develop performance-critical components for trading systems, focusing on low latency and reliability using C++. Conduct performance research and optimize trading infrastructure.

Design and develop performance-critical components for trading systems, focusing on low latency and system reliability while collaborating in a fast-paced environment.

Develop and support low-latency C/C++ trading systems, conduct testing and code reviews, and enhance platform performance within a collaborative team.

The Trading Operations Specialist will monitor and manage trading systems, analyze trading activity, collaborate with teams, and automate processes using scripting.

The Head of Infrastructure will lead a team, oversee core infrastructure areas, drive modernization, and ensure hands-on engagement during expansion.

Develop and manage quantitative trading strategies aiming for a minimum annual PNL of $2MM USD, and oversee the research process.

The Low-Latency Developer will design, optimize, and maintain high-performance trading systems, improving latency while managing technical debt in a fast-paced trading environment.

The role involves monitoring automated trading systems, optimizing trading workflows using Python and Bash, and collaborating with teams to support daily operations and risk management.