Jobs at DV 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.

Develop and maintain proprietary trading tools for commodity desks; collaborate with developers, traders, and researchers; design greenfield solutions and extend existing codebases; use AI to accelerate development; take ownership from design through deployment and production support.

Work in small teams to build low-latency applications and trading tools, delivering self-contained features within an existing production codebase. Use AI coding tools responsibly, own and validate shipped code, and develop performance-sensitive, numerical solutions. Onsite full-time at the New York office for the summer internship.

Summer software development internship building low-latency trading applications and tools. Deliver self-contained features within an existing production codebase, use AI coding tools responsibly, and collaborate with development and trading teams to improve performance-sensitive systems.

The Senior FPGA Engineer will architect ultra-low-latency FPGA trading systems, mentor a team, and collaborate closely with quantitative researchers and software developers.

The Trade Support Engineer will optimize trading operations, support traders, manage Linux environments, and drive strategic projects to enhance trading technology.

Own P&L for one or more areas of the energy business. Build and maintain fundamental and quantitative trading models. Work with risk to ensure compliance with metrics. Collaborate with senior energy traders and learn proprietary trading methodologies and systems.

Develop and enhance a low-latency trading platform while learning proprietary trading methodologies and working with senior traders and developers.

Develop and enhance low-latency trading software, collaborate with traders, and learn proprietary systems and methodologies in a fast-paced environment.

The role involves developing and enhancing a low-latency trading platform, collaborating with traders and developers, while learning proprietary methodologies.

The C++ Software Developer will design, implement, and deploy DV's core trading platform, collaborating with trading desks and cross-functional teams to solve complex problems.

Provide first-line IT support for end-users via phone, tickets, email, Slack, or in-person. Troubleshoot hardware, OS, software, and network issues; manage incidents and service requests; maintain documentation and IT asset inventory; participate in on-call rotation; collaborate with IT teams to escalate and resolve complex issues.

The Trade Support Engineer will monitor and manage trading platforms, provide support for Linux environments, collaborate with teams, solve trading issues, and assist with process improvements.

Lead design and implementation of a low-latency C++ trading platform covering execution, market data, order and risk management. Build direct exchange connectivity, optimize microsecond/nanosecond performance, collaborate with traders and quants, and own systems end-to-end in production trading environments.

Middle-office role supporting trading desks: monitor trading activity, perform daily PnL reconciliation, investigate breaks, resolve trade issues, escalate pricing/risk problems, and drive data-driven process improvements and automation.

Support Quantitative Risk Management by building and executing quantitative risk monitoring, designing and analyzing key risk metrics, applying statistical modeling to assess future risk and opportunities, contributing to cross-functional initiatives, and presenting findings to executive management.