Jobs at Da Vinci Trading

Graduate quantitative professionals will analyze market data, develop and improve trading strategies, build analytical tools, and evaluate new markets. Depending on specialization, they may conduct quantitative research, monitor trades, develop high-performance trading systems, improve data infrastructure, optimize latency and deployment workflows, and support reliable live trading operations.

Monitor trading activity across traditional and digital asset markets, investigate and document surveillance alerts, escalate compliance risks, and improve surveillance rules and systems. Support regulatory requests, audits, inspections, internal reviews, and compliance reporting. The role requires financial markets knowledge, analytical skills, comfort with large trading datasets, Excel proficiency, and ideally basic SQL or Python experience.

Graduate quant professionals analyze market data, develop trading strategies and tools, improve quantitative models and infrastructure, and evaluate market opportunities. Depending on specialization, they may conduct quantitative research, monitor and optimize trades, or build high-performance trading systems. The role requires a strong quantitative academic background, programming skills, financial-market interest, mathematical modeling ability, analytical thinking, communication, and attention to detail.

Graduate quant professionals analyze market data, develop trading strategies, build high-performance trading systems, improve data infrastructure, monitor live trades, and evaluate new markets. Depending on specialization, they may work as quantitative traders, researchers, or developers. The role requires strong quantitative reasoning, programming ability, financial-market interest, analytical problem-solving, communication, and attention to detail.

Develop and optimize ultra-low-latency C++ trading systems. Responsibilities include eliminating code inefficiencies, tuning network and server infrastructure, using profiling tools and hardware performance counters, implementing fast packet processing and kernel-bypass technologies, building monitoring tools, and deploying and maintaining high-performance systems in collaboration with traders and researchers.

The role involves generating trading profits, managing risk, developing strategies, and designing high-performance trading systems. You'll analyze datasets, build models, and collaborate to enhance trading infrastructure.

Join a collaborative team to solve complex problems in trading, analyzing data, optimizing strategies, and ensuring top performance in a proprietary trading firm.

The Trading Systems Engineer manages trading systems, ensuring stability and performance while automating tasks and optimizing infrastructure.

Role involves executing trading strategies, developing quantitative models, and optimizing trading systems within a collaborative team environment.

The role involves generating profits through trading, analyzing data for opportunities, and developing high-performance trading systems. Requires strong analytical skills and collaboration with teams.

The Low Latency Engineer optimizes trading algorithms by minimizing latency, improving code efficiency, and collaborating with traders and researchers on technical projects.

Provide commercial legal advice across the firm: draft, review and negotiate contracts; manage corporate housekeeping and structuring; advise on privacy, IP and AI matters; support legal tech adoption; assess novel products and regulatory changes; and partner with Compliance, Risk, Finance and Business Development.

Eight-week internship blending theory, simulated trading, programming training, and project work. Collaborate with traders, quantitative researchers, and software engineers to learn trading strategies, risk management, and market dynamics, with potential full-time offers after graduation.

Monitor trading activity, risk exposures, and P&L in real time; build and maintain quantitative risk models and analytical tools; run scenario analyses, stress tests, and backtests; design dashboards; investigate anomalies; support risk controls, policy adherence, and day-to-day risk monitoring while collaborating with traders, quants, and developers.