Lorien
Senior Electronic Trading Engineer (VP)
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A leading Global Investment Bank is seeking an experienced Trading Algorithm Strategist to join its Electronic Equities business in London.
This is a senior-level opportunity for a highly skilled engineer with deep expertise in algorithmic trading, low-latency systems and electronic execution platforms. You'll play a key role in designing and enhancing execution algorithms that power a global equities franchise operating across 100+ markets.
The Opportunity
You'll join a globally distributed technology team responsible for building and evolving strategic algorithmic trading applications, including:
- Best Execution Algorithms
- Smart Order Routing (SOR)
- Centralised Risk Book (CRB)
- Internal Order Book (IOB)
These are mission-critical, low-latency, high-throughput systems where performance, scalability and reliability are paramount.
Working closely with quantitative analysts, developers, traders and business stakeholders, you'll help shape the future of the firm's electronic execution offering while contributing to the architecture and strategic direction of the platform.
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Key Responsibilities
- Design, develop and optimise sophisticated trading algorithms for equities execution.
- Enhance platform performance, latency, execution quality and scalability.
- Collaborate with quantitative research, trading and technology teams to deliver strategic solutions.
- Build and architect high-performance components across the algorithmic trading stack.
- Analyse execution behaviour and identify opportunities for algorithmic improvement.
- Engage directly with business users to understand trading requirements and production issues.
- Drive best practices in software engineering, architecture and development standards.
- Ensure robustness, resilience and security through rigorous testing and validation.
- Mentor and support junior developers across distributed teams.
- Proactively identify and implement technology improvements to support future business growth.
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Essential Skills
- Degree in Computer Science, Mathematics, Finance, Engineering, or a related discipline.
- Strong commercial experience in C++ development.
- Proven background in algorithmic trading, electronic execution, or quantitative trading systems.
- Deep understanding of financial markets, market microstructure and execution strategies.
- Experience building low-latency, high-performance distributed systems.
- Strong analytical and problem-solving capabilities.
- Ability to translate business and quantitative requirements into technical solutions.
- Excellent communication and stakeholder management skills.
If you're passionate about algorithmic execution, low-latency engineering and building market-leading trading technology, we'd love to hear from you.
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