Overnight Risk & Trading Systems Engineer - Asia Hours

Tradermath; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Virtu Financial is seeking a Risk Management professional to join a global, fast-paced team that routes retail equity orders and manages live production systems. The role blends trader-like thinking with engineering, offering hands-on ownership of production risk and trading infrastructure.

Ideal candidates have 3+ years in finance, strong Python and SQL skills, and familiarity with US equity market structure. A BS in a quantitative field is preferred; Java/C++ experience is a plus.

Qualifications

• 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 a plus.
• Experience with Java or C++ a plus.
• Statistical analysis experience a plus.
• Calm under pressure in fast-moving environments.
• Excellent problem-solving and communication skills.

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

US equity market structure

Education

Bachelor’s Degree in a quantitative field

Tools

Java

C++

Job description

Virtu Financial is seeking a Risk Management professional to join a global, fast-paced team that routes retail equity orders and manages live production systems. The role blends trader-like thinking with engineering, offering hands-on ownership of production risk and trading infrastructure.

Ideal candidates have 3+ years in finance, strong Python and SQL skills, and familiarity with US equity market structure. A BS in a quantitative field is preferred; Java/C++ experience is a plus.