Java Software Engineer - Systematic Trading Execution Team - Hedge Fund - LondonOffice
Stanford Black
London, UK
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Enterprise Integration
Job description
A boutique hedge fund is building one of the most sophisticated systematic trading systems in the market. I am hiring engineers who want to sit at the intersection of Java, FIX, execution workflows, and real PnL. You’ll be directly shaping the systems that route orders, connect brokers, and analyse cross-asset trading execution.
What you’ll do:
- Own the end-to-end lifecycle of execution workflows from order handling to broker connectivity to post-trade integration
- Build and optimise high-performance Java systems for smart order routing, broker communication, and execution workflow
- Work directly with execution researchers to improve algos, benchmarks, TCA, and live trading performance
- Take responsibility for production components supporting systematic equity execution
Why apply:
- Direct impact on execution performance: your work improves live trading
- Real ownership: you build it, you run it, you improve it
- Complex, front-office execution problems
- Exposure to FIX, brokers, venues, TCA, SOR
What we’re looking for:
- 5-10 years’ experience in Java engineering roles
- Experience with FIX messaging, execution systems or broker connectivity
- Solid understanding of order flow and workflow integration
- Experience in hedge funds, banks, asset managers or trading firms
- Front office mindset e.g. wants to understand how execution drives trading performance
Requirements
- 5-10 years’ experience in Java engineering roles
- Experience with FIX messaging, execution systems or broker connectivity
- Solid understanding of order flow and workflow integration
- Experience in hedge funds, banks, asset managers or trading firms
- Front office mindset e.g. wants to understand how execution drives trading performance
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