Jobs at Virtu Financial

The Trading Operations Analyst manages clearance, settlement, and reconciliation of trades, collaborating with various teams to ensure accuracy and efficiency.

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

The Quantitative Strategist will build predictive models, optimize trading strategies, and improve volatility pricing using statistical methods, collaborating with traders and quants.

The Quantitative Strategist will develop predictive models, analyze trading strategies, build risk frameworks, and automate research tasks within a collaborative team environment.

Summer internship for graduate students to research and develop trading models from large datasets. Interns collaborate with senior quants and developers, complete one-to-two projects, receive training, and apply quantitative, mathematical, and programming skills (C/C++, Python, Pandas) to improve algorithmic trading strategies.

Summer internship building and optimizing low-latency trading systems and tools. Interns complete real-world development projects, improve scalability and performance, receive mentoring and training, and work across frontend/backend tasks in Python and Java/C++ environments.

The Systems Engineer will analyze and resolve Linux server issues, manage configurations, and optimize systems to support a high-performance trading platform.

Summer internship working with quantitative strategists to analyze large trading datasets, develop models to improve trading algorithms, complete one to two mentored projects, and participate in training and team events.

Participate in a 10-week, hands-on quantitative trading internship working with senior traders on real trading problems across asset classes. Learn Virtu's trading technology, develop algorithmic strategies, complete mentor-guided projects, and undergo ongoing training including a global training week.

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.

The role involves developing and maintaining trading user interfaces, enhancing performance of C# components, and adapting to project changes while collaborating with teams.

Design, build, and support high-performance servers for a trading platform, focusing on Linux administration, optimization, and collaboration with global teams.

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.

Design, build, and maintain low-latency, front-to-back trading infrastructure including order management, exchange connectivity, smart order routing, internalization, and clearing. Improve scalability and performance, produce trading tools, and support diverse projects across frontend and backend technologies while collaborating with cross-functional teams.

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.

Provide client-facing support for Virtu's Analytics suite: analyze trade data, create and deliver transaction cost presentations and bespoke research, support client communication and consulting projects, contribute to sales and product initiatives, and use data and automation to improve internal and client operations.

The role involves developing an ML research platform, managing data pipelines, and building tools for simulation lifecycle and performance monitoring in a collaborative environment.

One-week, on-site January program at Virtu in New York giving 2nd-year undergraduates exposure to market-making, trading tools, and team-based trading projects. Participants receive mentoring, training, immersive exercises, networking with senior traders, social events, and the chance to be evaluated for a 2028 summer internship. Programming test and interviews follow resume screening.

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 role involves developing scalable web-based UIs and trading tools, collaborating with traders and developers to implement trading and reporting tools.