Jobs at Virtu Financial

The Quantitative Strategist role involves building predictive models, developing trading strategies, analyzing risks, and automating research tasks in a collaborative financial firm environment.

Design and develop RTL for low-latency FPGA and ASIC trading applications, owning hardware designs from specification through verification and production deployment. Improve build, simulation, and verification infrastructure, and coordinate live hardware deployments. The role requires FPGA or ASIC experience, strong SystemVerilog or VHDL and cocotb skills, familiarity with vendor toolchains, and knowledge of high-speed interfaces such as Ethernet, PCIe, and AXI.

Work with senior traders to design, operate, and improve high-performance algorithmic trading strategies. Apply quantitative analysis to transform large data sets into trading models, solve real-market problems across desks (FX, fixed income, options, ETFs, energy), and collaborate with quants and engineers on strategy enhancements during a hands-on 10-week internship.

The Women's Winternship at Virtu offers an immersive experience in global trading for female students, focusing on trading tools, lectures, and teamwork, culminating in a final contest.

10-week onsite software engineering internship working on design, development and optimization of low-latency, high-performance trading systems and tools. Interns receive training, mentor-supported projects focused on scalability, performance, and data handling, plus social and workplace perks.

Manage trade clearance, settlement, and reconciliation for trading desks; work with traders, finance, brokers, and custodians to ensure timely settlement, accurate books, and risk mitigation. Support automation, data analysis, and system/control improvements alongside engineers.

10-week onsite FPGA engineering internship focused on ultra-low-latency trading systems. Interns work across FPGA/ASIC design lifecycle: architecture, RTL implementation, simulation, verification, and hardware bring-up, guided by senior mentors on real projects.

10-week Dublin-based internship where graduate students work on quantitative research and algorithm development for market making. Interns apply statistical modeling, machine learning, and deep learning to large trading datasets, complete one or two mentored projects, and receive training and social perks.

The Full Stack Developer will design and implement web-based trading tools, collaborating with traders and other teams to meet needs and enhance user experiences.