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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.

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

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.

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.

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.

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.

Operate and evolve an on-prem Kubernetes platform for latency-sensitive trading systems. Own cluster lifecycle, observability (metrics, logs, traces), CI/CD and GitOps, infrastructure automation, and platform onboarding/support for trading desks. Build tooling, runbooks, and scale platform operations.

Operate and evolve an on‑prem, latency‑sensitive Kubernetes platform and observability stack. Build and maintain CI/CD and GitOps workflows, infrastructure automation, and tooling. Onboard and support trading desks, write runbooks, tune alerts, scale metrics/logs/traces, and drive platform adoption and disaster recovery planning.