Fullstack Engineer (React, TypeScript)

My client is a multibillion AUM global quantitative investment firm that trades—using advanced math and cutting-edge technology to identify and execute systematic opportunities across global markets. Flat culture with top-tier resources. Based in Central Hong Kong, this onsite role offers excellent compensation, buy-side bonuses, free meals, gym allowance, and top-tier medical coverage.

Role Overview

We are seeking aFullstack Developer (Frontend Heavy) to join the Quantitative Technology team, focusing onhigh-performance UI development for mission-critical trading systems. You will build and maintain real-time monitoring interfaces that handleextreme data volumes and bandwidth-intensive streams with zero compromise on speed or reliability, while also integrating with backend services as needed.

Key Responsibilities:

1. High-Performance UI: Develop and optimize web-based GUIs for real-time trading system monitoring, ensuring sub-millisecond responsiveness.
2. Data-Heavy Visualization: Design interfaces that handle large, rapidly updating datasets with seamless user experience.
3. Fullstack Integration: Collaborate on backend APIs and data pipelines to ensure smooth data flow between frontend and services.
4. Rapid Iteration: Implement rapid cycles to support evolving business needs, working directly with traders and researchers.
5. Tooling: Build tooling for data analysis, visualization, and diagnostics to support trading decisions.

Required Skills & Experience:

1. Core Tech: Strong proficiency inReact, TypeScript, WebSockets, D3.js with a focus onhigh-performance, low-latency interfaces .
2. Fullstack Capability: Familiarity withbackend APIs, data pipelines, and integration points —enough to collaborate effectively and bridge frontend with services.
3. Real-Time Data: Deep experience withreal-time data visualization and performance tuning fordata-heavy applications .
4. Finance Background: Prior experience in financial services is essential —specifically with trading systems, market data, or quantitative platforms.
5. Data Intensity: Proven track record of building interfaces that handle large, rapidly updating datasets without performance degradation.
6. Mindset: Ability to work in fast-paced, iterative environments with strong communication skills.

Nice-to-Have:

1. Exposure to monitoring tools (e.g., Prometheus, Grafana).
2. UX principles for data-heavy, time-critical interfaces.
3. Experience with Python or Node.js for lightweight backend work.