We're partnered with a leading global hedge fund managing multi-billion AUM, now looking to hire a Software Engineer – Trading Analytics to join their high-performing technology team and build out a next-generation analytics platform used by the front office.
The Role
You'll play a key role in building a centralised Trading Analytics Platform, working closely with portfolio managers, traders, and risk teams to deliver real-time insights across the trading lifecycle.
This is a highly impactful engineering role focused on data-intensive systems, analytics, and cloud-based architecture, where you'll design and build solutions for risk, P&L attribution, and execution analytics.
You'll work across both new development and system migration, helping move legacy systems into a modern, event-driven, cloud-based environment.
What You'll Bring
5+ years' experience building backend or data-intensive systems
Strong skills in Java and Python (core Java / JVM understanding)
Experience with distributed systems, data pipelines, and large datasets
Solid knowledge of SQL and analytical databases (Snowflake a plus)
Experience with AWS / cloud technologies (Batch, Step Functions, Docker, etc.)
Understanding of event-driven architectures (Kafka, Kinesis, etc. beneficial)
Experience in financial markets / trading / risk / P&L analytics preferred
Strong communication skills and ability to work with front-office stakeholders
Perks & Benefits
Market leading salary + bonus + benefits
Direct exposure to front-office trading and decision-making
High ownership and impact on core trading systems
Collaborative, international environment
Opportunity to work on modern cloud, data, and real-time analytics platforms
Location
Central London
Build the analytics that drive trading decisions - if this sounds like you, we'd love to hear from you.