3 of 3 JVM Tuning Jobs in the City of London

throughput Design architecture capable of handling large volumes in a latency-sensitive environment Implement and manage high-performance messaging frameworks like Aeron and SBE Perform in-depth profiling and tuning to eliminate latency and optimise microsecond-level performance Develop robust order routing and execution components that handle market volatility Apply advanced networking principles to minimise round-trip times and … network jitter Continuously assess and remove inefficiencies in JVM performance and memory management Strengthen operational resilience through improved monitoring, alerting, and fault tolerance SKILL/EXPERIENCE REQUIRED: Expertise in market-making or algorithmic trading, including deep understanding of order book dynamics and pricing techniques Proven track record in Java programming, specifically in building fast, low-latency trading systems Strong … familiarity with market data and order execution protocols (e.g. FIX, binary, or custom APIs) Hands-on experience with JVM tuning, garbage collection, and deep performance analysis Knowledge of fast messaging and data serialization technologies for high-speed environments Proficiency in networking concepts, including TCP/UDP, multicast, and low-level optimizations like DPDK or kernel bypass Mastery of More ❯

performance optimisation. Experience building and supporting real-time or high-throughput systems. Familiarity with messaging protocols (e.g., FIX, MQ, Kafka). Good grasp of data structures, memory management, and JVM tuning. Strong problem-solving and debugging skills in a time-sensitive environment. Desirable: Previous experience in an FX , equities , or electronic trading environment. Knowledge of Spring, Netty, or high More ❯

strategy components within the core trading engine: Execution models, signal interpretation, position sizing, risk limits. Work closely with the trader desk to deploy and iterate strategies. Perform strategy performance tuning using live and historical data. Analytics & Monitoring Maintain and extend Python-based analytics used for: Execution quality analysis, latency profiling, P&L decomposition, and parameter tuning. Integrate metrics with … performance indicators. System Architecture & Latency Management Own performance across the trading stack: Market data adapters, order gateways and execution logic. Profile and optimise Java code for latency and throughput: JVM tuning, GC management, thread pool optimisation, lock contention analysis. Enforce system resilience under load and failover scenarios. Common Libraries & Cross-Cutting Concerns Maintain shared libraries and infrastructure: Messaging More ❯