Electronic Trading Engineer

Virtu Financial•New York, NY

2d•$175,000 - $225,000

About The Position

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. 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.

Requirements

3+ years of experience at a financial institution
Strong experience with Python
Experience working with large datasets in SQL
Calm under pressure in fast-moving, time-sensitive environments
Strong attention to detail and a track record of accurate, high-quality work
Excellent problem-solving and communication skills
Team player with flexibility in time commitment

Nice To Haves

Bachelor’s Degree in a quantitative field preferred
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

Responsibilities

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