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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.

As a Trading Intern, you will learn proprietary trading methodologies, build trading models, improve processes, analyze discrepancies, and identify market opportunities under the mentorship of senior traders.

Lead design and build of a greenfield, ultra-low-latency C++ trading platform covering execution, market data, order and risk management. Implement direct exchange connectivity, optimize microsecond/nanosecond performance, collaborate with traders and quants, own systems end-to-end from design through production support for live trading.

Senior AI Engineer to design, develop, and productionize machine learning and AI systems for proprietary trading. Collaborate with researchers and traders to implement, optimize, deploy, and monitor models and scalable infrastructure, and contribute to technical direction and mentoring.

The Trade Desk Support Engineer provides L1 to L3 support for service requests/incidents, monitors trading systems, resolves issues, and develops tools for operational efficiency.

Manage and scale proprietary trading strategies end-to-end: develop models, signals, and execution; own risk, positions, and P&L; collaborate with quants, engineers, and risk/compliance to grow strategy performance.

Summer trading internship rotating across at least two commodity desks. Build and maintain analytics dashboards, back-test trading ideas, present results, and learn from senior and junior traders. Onsite in London with mentorship and potential full-time consideration.

Build and operate DV's model layer: fine-tune and distill open-weight models, run on-prem inference infrastructure on Kubernetes, implement a model gateway routing across providers, evaluate model quality/cost/latency, manage GPU provisioning and utilization, and define tooling for model selection and production regression testing.