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Argyll Scott Singapore is representing a premier investment bank seeking an experienced Algorithmic Trading Java Developer to join their front-office technology team. You will contribute to a data- and model-driven e-trading platform across Asian markets.
You will own the full development lifecycle of low-latency trading and options execution platforms, work with quantitative researchers and traders, and help optimize performance with GC tuning and OS-level improvements.
Our client, a premier investment bank, is seeking an experienced Algorithmic Trading Java Developer to join their high-performing technology team.
In this role, you will be part of a front-office development team building an advanced, data- and model-driven global e-trading platform designed to automate risk hedging, execution, and market-making across major Asian listed options markets. You will operate in a fast-paced, high-stakes agile development environment, taking ownership of the full application lifecycle with continuous delivery across global markets.
Core Platform Development: Design, develop, and maintain low-latency, high-throughput Java-based algorithmic trading and options execution platforms.
Automated Risk & Execution: Build data and model-driven systems to automate risk hedging, pricing, and execution strategies for institutional equity markets.
Full SDLC Ownership: Participate in the full application software development lifecycle within a rapid continuous delivery framework.
System Optimization: Perform deep-level debugging, garbage collection (GC) tuning, and OS-level performance optimization on high-frequency trading systems.
User Interface Integration: Develop and integrate modern front-end components for trading controls and monitoring tools.
Global Collaboration: Work closely with international quantitative researchers, traders, and global technology teams to align feature rollouts across multiple regional markets.
Experience: 5 to 8 years of relevant hands‑on software development experience, ideally within electronic trading, quantitative execution, or high‑frequency finance environments.
Backend Expertise: Expert‑level proficiency in Core Java within a UNIX/Linux environment.
Performance Engineering: Proven, hands‑on experience with Java memory management, Garbage Collection (GC) optimization, and Linux OS-level performance tuning and debugging.
Front-End Capabilities: Working knowledge of modern UI frameworks, including Angular, JavaScript, or TypeScript.
Strong understanding of algorithmic trading concepts, market microstructure, or options execution/hedging dynamics.
Ability to thrive under pressure in a fast-paced, high-stakes front-office environment.
Excellent communication and stakeholder management skills to collaborate effectively with global engineering and business colleagues.
Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.