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Develop and enhance a low-latency trading platform, collaborating with traders and developers, and exploring new trading opportunities.

Own and operate an on-prem Kubernetes platform for trading systems: cluster lifecycle, observability (metrics/logs/traces), GitOps CI/CD, infra automation, and onboarding/support for trading desks.

The C++ Software Developer will design, implement and deploy trading systems, collaborating with traders and cross-functional teams on feature requests and complex problem-solving.

Manage and scale proprietary trading strategies, develop and optimize models and execution frameworks, and collaborate across teams to improve performance.

Manage and scale proprietary trading strategies, optimize execution models, and oversee risk and P&L management while collaborating with quant and engineering teams.

Manage and scale proprietary trading strategies independently, develop and optimize models and signals, and drive profitability while collaborating with team members.

The Portfolio Manager will manage and scale proprietary trading strategies, optimize execution models, and own risk and P&L while collaborating with other traders and engineers.

Rotate across at least two commodity trading desks to learn trading strategies. Build and maintain analytics dashboards and tools, back-test ideas, and present results. Receive mentorship from traders, collaborate across teams, and work onsite full-time in New York using Python and Excel.

Lead design, implementation, and operation of a global, low-latency network. Plan and execute infrastructure projects, manage datacenter connectivity, troubleshoot performance and routing, and automate network operations while working with trading, systems, and operations teams.

The Trade Support Engineer ensures optimized trading operations by monitoring trading platforms and Linux environments, resolving issues, supporting traders, and driving improvement projects.