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 plus
Quantitative Analytics, Equity, Equities, Trading, Technology, Development
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