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Senior Quant Developer

Czechia, Prague · Job Posted May 27, 2026
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Job Description

Join Barclays as a Senior Quant Developer to build and modernize our quant finance infrastructure, where you’ll be designing robust Python-driven frameworks and AI‑augmented workflows that turn complex model testing into scalable, production-grade systems integrated into decision making and trusted across the business

Job Responsibility

  • Design, development, and maintenance of high-performance trading platforms, risk systems, and applications catering to the needs of traders and market participants
  • Collaboration with traders, strategists, and stakeholders to gather requirements and translate them into scalable and efficient technological solutions
  • Implementation of new features, enhancements, and functionalities on trading platforms to improve performance, reliability, and user experience
  • Stay updated on technological advancements, industry trends, and best practices to drive innovation and continuous improvement in trading platforms
  • Collaboration with cross-functional teams including business aligned SM&D teams, strats, compliance, and IT to address system issues and implement solutions

Requirements

  • Very strong Python 3+ pandas, numpy and matplotlib skills. Namely developing the architecture, abstraction and OOP, databases, containers, scientific computing, interfaces, test-driven development and code documentation
  • Experience applying AI/ML tools in production workflows, including use of LLM-based assistants, prompt engineering, agents, and automation of technical or business processes
  • Familiarity with Git/CI/ Docker/MongoDB development and deployment patterns
  • Desire to work in quantitative finance and utilize programming skills to develop frameworks, automate processes, drive testing and promote high quality production models/code
  • Experience developing internal tools or user-facing applications using React and Express, with strong software engineering fundamentals and ability to integrate with Python-based analytics/services
  • Basic knowledge of mathematical finance (e.g. Black Scholes, Hull-White, etc)
  • Basic understanding of numerical computation (optimization, Monte-Carlo, integration, etc)
  • PhD or master’s in computer science, Applied Mathematics, physics (or similar mathematical, scientific, or software-related field)

Nice to have

  • Experience developing internal tools or user-facing applications using React and Express, with strong software engineering fundamentals and ability to integrate with Python-based analytics/services
  • Basic knowledge of mathematical finance (e.g. Black Scholes, Hull-White, etc)
  • Basic understanding of numerical computation (optimization, Monte-Carlo, integration, etc)
  • PhD or master’s in computer science, Applied Mathematics, physics (or similar mathematical, scientific, or software-related field)

What we offer

  • Flexible working arrangements
  • Hybrid working

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