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Job verified 2 hours ago

Quantitative Analyst

eFinancialCareers·London (South East England)On-siteJunior
£66 000 / yearestimated
Vox Summary
  • Role Responsibilities: Maintain, enhance, and monitor automated trading strategies; perform post-trade analysis; manage datasets; collaborate with researchers and traders.
  • Key Requirements: Degree in a technical discipline; strong programming skills in Python, C++, Java; analytical skills; attention to detail; communication skills.
  • Conditions & Benefits: Onsite working in multiple UK locations; opportunity to work with world-class professionals; promotion into a Quantitative Researcher role after 18 months to 3 years.
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Job description

££66,000 GBP £9000 + £10,000 Onsite WORKING Location: Singapore, Central London, Greater London - United Kingdom Type: Permanent Quantitative Analyst Our client is a leading global quantitative investment firm, developing systematic trading strategies across global financial markets. Technology and data sit at the heart of the business, with proprietary trading platforms, research infrastructure and large-scale compute environments built in-house. They're looking for a Quantitative Analyst to work closely with quantitative researchers and traders, supporting live systematic strategies and helping to build robust, scalable trading systems. Eventually, once enough experience (18 months - 3 years) has been gained in the role, the Quantitative Analyst will be promoted into a Quantitative Researcher Responsibilities: • Maintain and enhance automated trading strategies. • Monitor live trading and investigate production issues. • Perform post-trade analysis and production reconciliations. • Manage research and production datasets. • Collaborate with researchers and traders to improve trading infrastructure and workflows. Requirements: • Degree in Computer Science, Electrical Engineering, Mathematics, Physics or a related technical discipline from a top university. • Strong programming skills in Python, C++, Java or similar. • Excellent analytical skills and attention to detail. • Comfortable working in a fast-paced, production environment. • Strong communication and collaboration skills. Desirable: KDB+/q, Linux/Bash, quantitative finance or systematic trading internship experience. This is an opportunity to work on live trading systems alongside world-class researchers, traders and engineers at one of the industry's leading systematic investment firms. Reference: AMC/DMA/LDN4

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Original source
reed.co.uk
Posted
Jul 13, 2026 · true date
Last verified
2 hours ago
Quality score
35/100
Salary stated0
Company identified0
applyUrl0
postedAt15
Complete description20

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