Summary
✨ AI‑Generated
An analyst/associate-level frontend role focused on internal trading applications and real-time financial data visualization. You will build fast, user-centric interfaces, integrate analytics capabilities, collaborate with quantitative and trading teams, and use modern frontend and visualization frameworks.
Highlights
Opportunity to build high-performance trading interfaces handling real-time data, collaborate directly with traders and quantitative teams, and work with modern visualization and frontend technologies in an agile environment.
Description
Key Areas of Responsibilities
Develop and improve internal trading applications with user-centric designs for speed and efficiencyOptimize front-end performance for handling large volumes of data in real-timeCollaborate closely with traders, quants, and data engineers to translate requirements into actionable interfacesImplement visualization components using Grafana, Apache Superset, AG-Grid, and Vue.jsIntegrate data analytics features to facilitate deep data insights and trading analyticsEnsure rapid delivery of features, bug fixes, and updates within an agile environmentWrite clean, maintainable code with proper documentation and testingStay 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 environmentsProficiency in React.js and Vue.js, with strong frontend development skills in JavaScript/TypeScriptHands-on experience with data visualization tools such as Grafana, Apache Superset, and AG-GridExperience handling and visualizing large datasets efficiently, with a focus on performance optimizationFamiliarity with data analytics techniques, including data aggregation, filtering, and statistical analysis in a front-end contextUnderstanding of REST APIs, WebSocket, and backend data integrationAbility to work quickly and deliver features iteratively in a fast-paced environmentGood understanding of trading workflows, financial data structures, and real-time data streaming is a plusExcellent problem-solving skills, attention to detail, and team collaboration capabilitiesKnowledge of network proxy configurations (e.g., Nginx), routingPython/Java/Time series DB knowledge would be a plus
