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C++ Software Engineer (Quantitative Trading)

tribus • Australia
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AI Summary

Build high-throughput, real-time C++ systems for a global quantitative trading firm, focusing on risk controls, trade lifecycle, and distributed infrastructure. Requires 3+ years of C++ development and trading/low-latency software experience. Hands-on role with end-to-end ownership and collaboration with traders and researchers.

Key Highlights
Hands-on C++ role in quantitative trading infrastructure
3+ years of C++ development required with trading/low-latency experience
End-to-end ownership of real-time risk and trade systems

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Key Responsibilities
Develop high-throughput, real-time C++ services for trading platform
Design and maintain risk controls, trade lifecycle, and reference data systems
Collaborate with traders, researchers, and infrastructure teams on distributed systems
Technical Skills Required
C++ Linux environments Distributed systems

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Benefits & Perks
Highly competitive base salary + performance bonus
Daily meals and gym membership
Comprehensive benefits, training, and mentorship
Full relocation support and visa sponsorship

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Nice to Have
Python scripting experience
CI/CD, Docker/Kubernetes knowledge
Database or modern data stack familiarity
Experience with real-time/low-latency systems
Knowledge of trade lifecycle or financial products

Job Description

We’re partnered with a leading global quantitative trading firm expanding several engineering teams across APAC.

You’ll build the systems that sit underneath a world-class trading platform. These systems process huge volumes of real-time data, manage risk, and keep trading running safely at scale. This is a hands-on C++ role where engineering quality directly affects the firm’s trading.

This role requires prior trading experience, or experience in a similar industry working on latency-critical software.

What You’ll Work On

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Job Overview
Posted Nov 11, 2026
Employment Full-time
Experience Mid-Senior level
Location Australia
Category Programming
Company tribus
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