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A leading financial services firm in Singapore is seeking a Quantitative Developer responsible for designing and maintaining core trading infrastructure, focusing on event-driven backtesting systems and FIX-based execution. The ideal candidate will have strong experience in C/C++ and Python, with a proven ability to manage execution workflows and operational integrity in a fast-paced environment. This position requires technical expertise and a commitment to maintaining high software engineering standards.
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.
Design and 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
Ensure strong alignment between backtest assumptions and live trading behaviour, minimising model-to-production drift
Collaborate closely with quantitative researchers to ensure:
Correct implementation of strategy logic
Performance efficiency and scalability of simulations
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
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
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
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
Experience deploying and operating services using Kubernetes
Familiarity with containerisation and controlled deployment workflows
Comfortable operating in regulated or risk-sensitive environments