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.

Operate and maintain low-latency electronic trading systems across global venues; troubleshoot incidents, support external trading connections, perform system triage/optimization, collaborate with traders and exchanges, and manage deployments in Windows/Linux environments.

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.

The ETF Pricing Analyst will work on pricing models for ETFs, collaborating with traders and issuers across various asset classes. A programming background and strong communication skills are essential.

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.

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.

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.

Design, implement, and operate Virtu’s global low-latency network. Build connectivity across venues, troubleshoot third-party links, and drive automation using configuration management and software collaboration. Improve scale, reliability, and performance while working with software engineers and stakeholders in a fast-paced trading environment.

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.

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 Ondesk Engineer will provide desktop support, maintain the local data center, and manage IT infrastructure including hardware and software inventory.

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