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Quantitative Developer (C++ & Python)

ATTIX APAC PTE. LTD.

Singapore

On-site

SGD 70,000 - 100,000

Full time

2 days ago
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Job summary

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.

Qualifications

  • Proven experience in C/C++ and Python in production environments.
  • Familiarity with containerisation and controlled deployment workflows.
  • 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
Modular system design
Testing and validation
Version control and code review
Event-driven systems
FIX-based trading infrastructure
Kubernetes
Containerisation
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
  • 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

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
  • Experience deploying and operating services using Kubernetes

  • Familiarity with containerisation and controlled deployment workflows

  • Comfortable operating in regulated or risk-sensitive environments

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