8 of 8 Low Latency Jobs in Berkshire

culture of collaboration, innovation, and analytical rigor. Cross-Functional Collaboration: Work closely with Compliance, Risk, Operations, and Technology teams to ensure models meet regulatory standards and support high-throughput, low-latency trading systems. Stakeholder Engagement: Liaise with senior management, clearing counterparties, and regulators to provide insights on model performance, market trends, and risk exposures. Continuous Improvement: Monitor and … R, C++, or Matlab for model development and data analysis. Strong understanding of risk models (VaR, Expected Shortfall, SPAN) and financial market infrastructure. Familiarity with high-performance computing and low-latency systems is a plus. Regulatory Knowledge: In-depth understanding of financial services regulations, particularly those related to derivatives trading. Leadership and Communication: Exceptional verbal and written communication More ❯

We are supporting a market leading provider of trading and liquidity services in their search for a Low Latency Linux engineer to optimise the internal and external trading infrastructure suite. The successful candidate will be enthused by the ongoing technical challenge posed by the evolution of the markets, client requirements and hardware. You will work with software engineers More ❯

Engineer (NCE) to design and implement next-generation VXLAN EVPN-based data center networks that support hypercomputing and AI infrastructure. This role is central to enabling the high-performance, low-latency environments required for multi-GPU clusters, distributed training pipelines, and scalable AI workloads. The ideal candidate will bring deep expertise in VXLAN, BGP, EVPN, RoCEv2, and fabric … scalable spine-leaf architectures using Cisco Nexus 9000 or Arista switches, ensuring efficient Layer 2/Layer 3 segmentation and workload mobility. •Optimize network performance for RoCEv2, GPUDirect, and low-latency traffic flows, ensuring maximum throughput and minimal jitter for GPU-accelerated clusters. •Configure underlay and overlay protocols including BGP, OSPF, IS-IS, and troubleshoot connectivity and control More ❯

technology. Key Responsibilities: Develop and optimize systematic, high-frequency trading strategies. Conduct quantitative research to uncover market inefficiencies and improve model robustness. Collaborate with engineering teams to build scalable, low-latency trading systems. Leverage machine learning and statistical methods to enhance signal generation and performance. Mentor junior researchers and foster a culture of technical excellence and collaboration. Who More ❯

ML & traditional statistical data driven software components. Proficiency in SaaS, API design, Azure/Kubernetes hosting, and Integration technologies. Experience in developing distributed/scalable systems and high-volume, low latency, transaction/computation applications. Broad understanding of the software development lifecycle, including the application of LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise More ❯

in data, modelling, and forecasting? We’re looking for a Delivery Manager to join our Modelling & Data Engineering team , where you’ll play a key role in delivering accurate, low-latency services and shaping next-generation technology. What you’ll do: Lead cross-functional teams (Data Science, Software Engineering & Data Engineering) to deliver and optimise models and processes. More ❯

frequency market data. Build and maintain pipelines for training, backtesting, and deploying ML models into a live trading environment. Ensure production systems are reliable, scalable, and optimised for ultra-low latency trading. Take ownership of end-to-end solutions, from research to execution. What We’re Looking For 5+ years’ experience in high-level engineering roles. Proven track More ❯

is a rare opportunity to define the future of embedded and agentic analytics at scale. Key Responsibilities Own the Analytics Platform Vision & Roadmap: Define and scale a high-performance, low-latency analytics engine that supports embedded dashboards, cross-source joins, and both human and AI-native querying (e.g., Text-to-SQL). Productize the PLuG SDK as a More ❯