Analyst/ Associate, GUI Developer, EQD Quant, Equity Derivatives

Key Areas of Responsibilities Develop and improve internal trading applications with user-centric designs for speed and efficiency Optimize front-end performance for handling large volumes of data in real-time Collaborate closely with traders, quants, and data engineers to translate requirements into actionable interfaces Implement visualization components using Grafana, Apache Superset, AG-Grid, and Vue.js Integrate data analytics features to facilitate deep data insights and trading analytics

CITIC CLSA - Hong Kong - Full time

Salary: Competitive

Key Areas of Responsibilities

  • Develop and improve internal trading applications with user-centric designs for speed and efficiency
  • Optimize front-end performance for handling large volumes of data in real-time
  • Collaborate closely with traders, quants, and data engineers to translate requirements into actionable interfaces
  • Implement visualization components using Grafana, Apache Superset, AG-Grid, and Vue.js
  • Integrate data analytics features to facilitate deep data insights and trading analytics
  • Ensure rapid delivery of features, bug fixes, and updates within an agile environment
  • Write clean, maintainable code with proper documentation and testing
  • Stay informed about new front-end technologies, data visualization tools, data analytics methods, and networking practices relevant to trading applications

Requirements

  • Proven experience in developing web applications, especially within financial or trading environments
  • Proficiency in React.js and Vue.js, with strong frontend development skills in JavaScript/TypeScript
  • Hands-on experience with data visualization tools such as Grafana, Apache Superset, and AG-Grid
  • Experience handling and visualizing large datasets efficiently, with a focus on performance optimization
  • Familiarity with data analytics techniques, including data aggregation, filtering, and statistical analysis in a front-end context
  • Understanding of REST APIs, WebSocket, and backend data integration
  • Ability to work quickly and deliver features iteratively in a fast-paced environment
  • Good understanding of trading workflows, financial data structures, and real-time data streaming is a plus
  • Excellent problem-solving skills, attention to detail, and team collaboration capabilities
  • Knowledge of network proxy configurations (e.g., Nginx), routing
  • Python/Java/Time series DB knowledge would be a plusĀ 
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