Top Tech Jobs & Startup Jobs

Lead architecture and development of proprietary low-latency trading software and client applications. Manage and direct a development group, assign and review work, coordinate projects, deploy trading strategies, and build custom trader tools and profitable low-latency trading strategies for futures exchanges.

Lead a quantitative engineering team to design, build, and maintain high-performance trading and risk systems. Collaborate with traders, risk managers, and quants to develop real-time P&L/position monitoring, commodity pricing models, VaR and scenario analysis, market data feed integrations, automated trading interfaces, and historical data warehouses.

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 independently, develop and optimize models and signals, and drive profitability while collaborating with team members.

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

Coordinate and schedule phone, virtual, and onsite interviews across time zones; manage ATS records; support onboarding, background checks, campus recruiting, and recruiting operations. Serve as candidate point of contact, prepare interview materials, generate recruiting reports, and improve recruiting processes while maintaining confidentiality.

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

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.

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.