Quantitative Developer

Trulyyy; Singapore; On-site; SGD 150,000 - 230,000; Full time

Job summary

Trulyyy in Singapore seeks a strong software engineer to join its trading technology team, working at the intersection of quant research, trading and engineering to productionize strategies and keep live systems running reliably.

You will partner with Quant Researchers to deploy ideas, optimize performance, and build tools to make research-to-production workflows faster and more robust, enabling efficient, low-latency trading across equities and futures markets.

Qualifications

• 5+ years of strong software engineering experience.
• Proficiency in C++ and scripting, or Python with Java/Go/Rust.
• Experience building or operating production-grade systems.
• Strong understanding of system design, performance and reliability.
• Familiarity with Git, code review and CI/CD.

Responsibilities

• Develop and maintain production systems supporting equities and futures trading strategies.
• Partner with Quant Researchers on strategy deployment, iteration and productionisation.
• Optimize trading and order execution performance across compute, storage, networking and hardware.
• Investigate and resolve real-time production issues during market hours.
• Improve the reliability, observability and performance of mission-critical trading infrastructure.
• Build internal engineering and developer tools to speed up research-to-production workflows.

Skills

C++

Python

Go

Rust

CI/CD

Git

System design

Tools

Production systems

CI/CD tooling

Job description

I’m working with a quantitative trading firm looking for a strong engineer to join its trading technology team.

This role sits at the intersection of Quant Research, Trading and Engineering. You’ll work closely with Quant Researchers to bring strategies into production, improve their performance in live markets, and build the systems and tooling needed to keep trading running reliably.

What you’ll work on:

• Develop and maintain production systems supporting equities and futures trading strategies
• Partner with Quant Researchers on strategy deployment, iteration and productionisation
• Optimize trading and order execution performance across compute, storage, networking and hardware
• Investigate and resolve real-time production issues during market hours
• Improve the reliability, observability and performance of mission-critical trading infrastructure
• Build internal engineering and developer tools to make research-to-production workflows faster and more robust

What we’re looking for:

• 5+ years of strong software engineering experience
• Proficiency in C++ + scripting, or Python + Java / Go / Rust
• Experience building or operating production-grade systems
• Strong understanding of system design, performance and reliability
• Comfortable with Git, code review and CI/CD
• Strong interest in quantitative/systematic trading

Regrettably, only shortlisted candidates will be notified.

Please note that data provided is for recruitment purposes only.

Business Registration No.: 202004228R | License. No. - 20S0118 | EA Registration No. - R22108146