Top Tech Jobs & Startup Jobs

The Senior Network Engineer will design and oversee QRT's network infrastructure, focusing on colocation and ultra-low latency trading. Responsibilities include lifecycle management and collaboration with project teams to deliver complex network solutions using automation and high-performance architectures.

This role involves gathering regulatory requirements, translating them into specifications, improving surveillance processes, and collaborating with engineering teams using SQL and Python.

Coordinate onboarding, induction, and learning programmes; manage onboarding materials and learning resources; support Talent Development systems and reporting; partner with HR, Compliance, Security, Office Management and external providers; contribute to process improvements and Talent Development projects across regions.

As a Quantitative Strategist at QRT, you will provide analytics on trading data, develop reports, and assist in portfolio management.

As an FPGA Engineer at QRT, you will develop hardware platforms for trading systems, focusing on FPGA design, RTL development, and optimization.

Analyze network and exchange protocols to optimize high-frequency trading infrastructure, automate performance metrics, and improve communication efficiency.

You will design and implement low-latency trading systems, optimize system performance, and ensure reliability at scale within the Core Trading Platform team.

This role focuses on maintaining system reliability and performance, implementing automation tools, and collaborating with teams to optimize operations within QRT.

As a Front Office Quantitative Developer, you will enhance quant technology for algorithmic trading, collaborating with traders and quants to support 24/7 strategies.

Design, build, and operate a scalable data platform for quantitative research and backtesting. Develop production-grade Python applications to ingest, process, validate, and distribute market and reference data. Build automated data pipelines (Airflow, AWS Batch), ensure data quality and observability, and collaborate with researchers, software, and infrastructure teams to accelerate dataset onboarding and research workflows.