Multi-strategy trading firm built on real-time systems and quantitative research
Maven Securities is a London-based trading firm that positions itself as much a technology company as a financial one. Their stack reveals this identity clearly: beyond standard market-infrastructure tools (Cisco, Arista, Juniper), they run Python, C++, and FPGA for quantitative models, paired with modern DevOps (Kubernetes, Airflow, Argo CD, Dagster) to operationalize trading logic at scale. Active hiring across finance, engineering, and research—weighted toward senior roles—reflects a push to expand both trading capacity and the infrastructure that supports it, with projects focused on low-latency systems, option pricing, and real-time anomaly detection.
Maven Securities executes fundamental and quantitative trading strategies across global financial markets using proprietary capital. Founded in 2011 and based in London, the firm operates across 201–500 employees and recruits in the US, UK, China, and the Netherlands. Their operational model integrates trading, research, and engineering into a unified technology stack: traders work with Python and quantitative libraries (Pandas, NumPy, SciPy) for modeling; infrastructure teams run Kubernetes and Kafka for real-time data flow; and execution is supported by custom network architecture (Cisco, Arista, Juniper, FPGA) designed for low-latency order routing and settlement. Risk management and execution precision are core to their strategy.
Python, C++, Pandas, NumPy, SciPy for quantitative models; Kubernetes, Airflow, Argo CD, Dagster for data pipelines; Kafka for real-time streams; Cisco, Arista, Juniper for network infrastructure; FPGA for low-latency systems; AWS for cloud compute.
United Kingdom (headquarters in London), United States, China, and the Netherlands.
Maven Securities's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.