Quantitative Analyst FX Electronic Trading

Key Responsibilities

• Be a core contributor in designing and building automated analytical frameworks to monitor, evaluate, and improve the performance of our FX electronic trading and algorithmic execution strategies
• Act as a first line of defence in identifying, diagnosing, and resolving issues with models and strategies — proactively surfacing insights before they become problems
• Work closely with sales and trading partners in London and globally to gather structured feedback on model and strategy performance, translating qualitative desk intuition into quantitative improvements
• Collaborate with fellow quant team members on research initiatives spanning electronic market making, execution algorithms, and transaction cost analysis
• Challenge existing approaches — bring fresh perspectives, propose improvements, and drive iterative development of our quantitative toolkit
• Write clean, well-structured, production-quality code as a natural part of your daily workflow, not as an afterthought
• Qualifications & Experience
• Relevant prior of experience in a quantitative modelling, analytics, or electronic trading role, ideally within financial markets
• Strong programming skills — Python is essential; Java or C++ exposure is a plus
• Solid grounding in statistics and probability, with genuine intuition for applying these to real trading problems (e.g. signal analysis, performance attribution, execution quality measurement)
• Familiarity with market microstructure and FX or broader electronic trading concepts
• Demonstrated ability to work with market data — tick data, order book data, or execution data
• Strong software design sensibility — you write code you'd be proud to have reviewed
• Exposure to machine learning techniques (e.g. classification, regression, clustering) applied to financial or time-series data — not a prerequisite, but genuinely valued
• Experience with algorithmic execution or market making strategies
• Familiarity with transaction cost analysis (TCA) or execution performance benchmarking
• Master's degree or higher in a highly quantitative discipline (Mathematics, Statistics, Physics, Computer Science, Engineering, or equivalent)
• A builder's mindset — you enjoy creating things from scratch and iterating quickly
• Intellectually restless — you question assumptions and look for better ways to do things
• Strong communication skills, able to translate complex quantitative findings into clear, actionable insights for trading and sales stakeholders
• Collaborative and low-ego — you contribute to a team where everyone pulls their weight
• Institutional Trading
• Quantitative Analysis
• Full time
• Please see the requirements listed above.
• For complementary skills, please see above and/or contact the recruiter.
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Qualifications

• Familiarity with market microstructure and FX or broader electronic trading concepts
• Experience with algorithmic execution or market making strategies
• Familiarity with transaction cost analysis (TCA) or execution performance benchmarking