Electronic Trading Engineer

Virtu is a leading financial firm that leverages cutting-edge technology to deliver liquidity to the global markets and innovative, transparent trading solutions to our clients. As a market maker, Virtu provides deep liquidity that helps to create more efficient markets around the world. Our market structure expertise, broad diversification, and execution technology enables us to provide competitive bids and offers in over 19,000 securities, at over 235 venues, in 36 countries worldwide.

The firm's complementary core offerings—market making, client execution services, and trading venues give Virtu a competitive advantage in developing and applying innovative tools that deliver efficiencies and performance across the organization.

THE ROLE

Virtu's Risk Management team is a globally connected and fast-paced group, responsible for the framework that routes retail equity orders to market. Sitting at the intersection of trading and engineering, the team plays a central role in how Virtu manages risk in real time, across markets and around the clock.

As markets move toward 23/5 trading, overnight coverage has become a core part of how this framework operates globally. In this role, you'll support live systems during Asia hours, acting as the first line of defense while our US teams are offline, thinking like a trader when markets move, and like an engineer when the system needs to evolve. It's a hands-on, coding-intensive role with real ownership over production systems, that blends disciplined risk management with the deeper work of building and improving the systems behind it.

• Monitor automated trading and risk infrastructure, identifying and resolving issues in real time and escalating issues when needed
• Develop new strategy features and deploy code changes through the team's standard review process
• Design, run, and report on retail routing experiments
• Shape the team's priorities based on what you see overnight, and help support the shift to 23/5 trading
• Partner with traders and developers across regions to strengthen system resilience as overnight coverage expands
• Develop a deep, hands-on understanding of risk systems, order flow, and market structure

THE CANDIDATE

• 3+ years of experience at a financial institution
• Bachelor’s Degree in a quantitative field preferred
• Strong experience with Python
• Experience working with large datasets in SQL
• Knowledge of US equity market structure (venues, smart order routing, order types, trade reporting) a plus
• Experience with Java or C++ a plus
• Statistical analysis experience a plus
• Calm under pressure in fast-moving, time-sensitive environments
• Strong attention to detail and a track record of accurate, high-quality work