Quantitative Developer (Core Trading Systems)

ATTIX APAC PTE. LTD.; Singapore; On-site; SGD 125,000 - 150,000; Full time

Job summary

A leading financial technology firm based in Singapore is seeking a Quantitative Developer to design and maintain core trading infrastructure. The role emphasizes event-driven backtesting systems and FIX-protocol-based trading engines. Ideal candidates will have proven experience with C/C++ and Python in production, as well as a solid understanding of trading systems and operational engineering. The position offers an opportunity to work in a challenging, regulated environment with a focus on stability and resilience.

Qualifications

• Proven experience in C/C++ and Python in production environments.
• Strong grounding in software engineering best practices, including modular system design.
• Comfortable operating in regulated or risk-sensitive environments.

Responsibilities

• Design and maintain an event-driven backtesting framework.
• Build and maintain a FIX-protocol-based trading engine.
• Develop and operate production services using C/C++ and Python.

Skills

C/C++

Python

Event-driven systems

FIX-based trading infrastructure

Kubernetes

Job description

Role Purpose

The Quantitative Developer is responsible for the design, implementation, and ongoing maintenance of the firm’s core trading infrastructure, with a specific focus on event-driven backtesting systems and FIX-based execution connectivity.

This role is central to ensuring that research results are accurately represented, operationally robust, and consistently reproducible when transitioned from research to live trading, thereby supporting disciplined capital deployment and risk management.

Key Responsibilities

Research & Backtesting Infrastructure

• Designand maintain an event-driven backtesting framework that:
• Accurately models market events, order lifecycles, and execution mechanics
• Supports multi-strategy and multi-asset portfolios
• Produces reproducible, auditable outputs suitable for internal review and external due diligence
• Ensures strong alignment between backtest assumptions and live trading behaviour, minimising model-to-production drift
• Collaborates closely with quantitative researchers to ensure:
• Correct implementation of strategy logic
• Performance efficiency and scalability of simulations

Execution & Connectivity

• Build and maintain a FIX-protocol-based trading engine used for live order routing and execution
• Implement robust handling of:
• Order state management
• Partial fills, rejects, and recovery scenarios
• Broker and venue connectivity
• Integrate execution workflows with risk controls, monitoring, and operational safeguards

Operational & Systems Engineering

• Develop and operate production services using C/C++ and Python, adhering to strong software engineering standards, bearing in mind that end users mostly code in Python
• Deploy trading and research services within a containerised, Kubernetes-based infrastructure
• Implement logging, monitoring, and alerting to support operational transparency and post-trade review
• Contribute to system design with an emphasis on:
• Stability and resilience
• Controlled change management
• Operational risk reduction

Required Experience & Competencies

Technical Foundation

• Proven experience in C/C++ and Python in production environments
• Strong grounding in software engineering best practices, including:
• Modular system design
• Testing and validation
• Version control and code review

Trading Systems Exposure

• Experience building or maintaining event-driven systems
• Familiarity with, or demonstrated ability to work with, FIX-based trading infrastructure
• Understanding of real-world execution considerations and failure modes

Infrastructure & Operations

• Experienced deploying and operating services using Kubernetes
• Familiarity with containerisation and controlled deployment workflows
• Comfortable operating in regulated or risk-sensitive environments