Actively recruiting / 49 applicants
We’re here to help you
Florencia Suarez Varady is in direct contact with the company and can answer any questions you may have. Email
Florencia Suarez Varady, Recruiter Role Overview
We are looking for a skilled Front-End Engineer to join our team, dedicated to designing, building, and maintaining our cutting-edge internal trading dashboards. These dashboards demand real-time data updates and highly customizable visualizations to support our high-frequency trading (HFT) workflows. You will have a pivotal role in developing and managing the next generation of customer-facing dashboards that leverage our advanced data pipeline and execution infrastructure.
Responsibilities
- Real-Time Dashboards: Develop highly interactive dashboards to visualize complex market data, order flow, and system performance in real time.
- Data Visualization & UX: Work closely with traders and quants to design modular, intuitive interfaces capable of handling large data volumes with low latency.
- Framework & Architecture: Select and implement robust front-end frameworks such as React or Vue, ensuring scalability for both internal and external applications.
- Performance & Scalability: Optimize front-end performance to ensure minimal delays in data rendering, crucial for high-frequency trading.
- Future Expansion: Contribute to the design and launch of external/customer-facing products, with potential for leading the front-end team as it grows.
Required Skills
- Front-End Expertise: Demonstrated experience with modern JavaScript frameworks (React, Vue, Angular), TypeScript, and real-time data handling.
- Complex Data Visualizations: Proficient with libraries like D3.js, Plotly, or ECharts, and capable of building custom visual solutions.
- Real-Time Systems: Knowledge of WebSockets, messaging queues, or streaming APIs for handling live data updates.
- Collaboration & Requirements Gathering: Skill in translating trader and quant needs into intuitive and maintainable front-end features.
Nice to Have
- Experience in HFT or low-latency environments, particularly in data display and user interaction.
- Background in fintech dashboards or high-performance charting solutions.
- Familiarity with backend technologies such as Python, Rust, or C to enhance integration between front-end and data pipeline architectures.