Senior Software Engineer - Intraday Analytics

Senior Software Engineer - Intraday Analytics

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Every day, trillions of dollars are traded on our systems. The Trade Automation and Execution (TRAX) platform enables clients to exchange value with ease, immediacy, and confidence. TRAX spans the full trade lifecycle across asset classes and provides the automation, analytics, and execution capabilities that today’s markets demand. Our mission is to simplify and optimise trading m automated order flow to predictive models and low‑latency execution, TRAX is the foundation that helps financial institutions operate more efficiently, reduce risk, and uncover opportunities in fast‑moving markets.

The Intraday Analytics team is the analytics backbone of TRAX. We process billions of market data points every day across multiple asset classes and transform them into analytics that guide how the world’s largest financial institutions trade. Our real‑time analytics help institutions and traders decide where, when, and how to trade, while monitoring performance as markets move. Our historical analytics provide benchmarks and insights that allow clients to evaluate and continuously improve their strategies.

Our analytics also drive the TRAX automation engine, enabling automated trading decisions and workflows, and are exposed via external APIs for client use.

London

Full-time

Engineering and Information Technology

• Design and build distributed systems that balance accuracy, consistency, availability, and low latency.
• Reimagine our architecture around a cloud‑based Complex Event Processing (CEP) engine.
• Push the boundaries of throughput using Kafka, Flink, and analytical data stores.
• Lead the development of core components in our C++17 and Java 17 infrastructure stack.
• Ensure scalability and resiliency for both real‑time streaming and historical big data.
• Drive engineering best practices, mentor peers, and influence technical direction across teams.

• Experience building and running distributed systems in production.
• Experience using C++ and/or Java to build enterprise applications.
• A strong foundation in software design, architecture, and performance optimisation.
• Proven ability to own projects end‑to‑end and influence technical strategy.
• A collaborative mindset and willingness to mentor.

• Expertise in parallel processing or large‑scale data pipelines.
• Hands‑on experience with Apache Flink, Hadoop, or HBase.
• Familiarity with messaging systems (Kafka, Blazing
  
  MQ, Rabbit
  
  MQ).
• Exposure to front‑end technologies (Type Script/JavaScript).
• Experience in technical leadership or project management.

Mid‑Senior level