Overnight Trading Risk Engineer (Python & SQL)

Virtu Financial; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

Virtu Financial is seeking a risk management professional to join the Asia‑hour coverage team. You will monitor live trading systems, build risk features, and work with traders and engineers to improve real-time risk controls.

This role blends coding with hands-on risk oversight during Asia hours while adapting to 23/5 trading dynamics. The ideal candidate has 3+ years in finance, strong Python and SQL skills, and familiarity with market structure.

Qualifications

• Minimum 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.
• Excellent problem-solving and communication skills.
• Team player with flexibility in time commitment.

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.

Skills

Python

SQL

Java/C++

Education

Bachelor's degree in a quantitative field

Job description

Virtu Financial is seeking a risk management professional to join the Asia‑hour coverage team. You will monitor live trading systems, build risk features, and work with traders and engineers to improve real-time risk controls.

This role blends coding with hands-on risk oversight during Asia hours while adapting to 23/5 trading dynamics. The ideal candidate has 3+ years in finance, strong Python and SQL skills, and familiarity with market structure.