Low-Latency Trading Operations Engineer

Tower Research Capital; Singapore; Hybride; SGD 120 000 - 190 000; Plein temps

Avantages offerts par ce poste

Hybrid working opportunities

Generous paid time off

Wellness reimbursement

Global career opportunities

Collaborative culture

Résumé du poste

Tower Research Capital is a leading quantitative trading firm seeking a software professional in Singapore to support high‑volume live trading and risk operations. You will contribute to automated trading systems, manage cross‑team projects, and help scale the trading platform with programmatic solutions.

The role requires 3+ years of experience, strong Python skills, Linux proficiency, and a solid grasp of trading technology and risk reporting. Hybrid work arrangements are available.

Qualifications

• Bachelor’s degree in Computer Science, Engineering or related discipline.
• 3+ years of professional experience in a related field.
• Strong Python programming skills and experience with real-time systems.
• Experience with risk reporting and P&L is beneficial.
• Ability to diagnose complex issues in live trading systems.

Responsabilités

• Monitor high-volume live trading and portfolio risk.
• Contribute to automated trading operations codebase.
• Manage ongoing projects with multiple Tower support teams.
• Coordinate software and hardware upgrades.
• Apply programmatic solutions to scale trading operations.
• Resolve discrepancies with positions, broker statements, and internal apps.

Connaissances

Python

Real-time systems

Trading tech

Data-driven decisions

Problem solving

Team collaboration

Formation

Bachelor’s degree in Computer Science or Engineering

Outils

Linux

Description du poste

Tower Research Capital is a leading quantitative trading firm seeking a software professional in Singapore to support high‑volume live trading and risk operations. You will contribute to automated trading systems, manage cross‑team projects, and help scale the trading platform with programmatic solutions.

The role requires 3+ years of experience, strong Python skills, Linux proficiency, and a solid grasp of trading technology and risk reporting. Hybrid work arrangements are available.