O pozici
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
Co budeš dělat
- 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.
- Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
- Adopt and include the outcomes of extensive research in problem solving processes.
- Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.
Koho hledáme
- To be successful as a Senior Quant Developer, you should have:
- 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.
- Some other highly valued skills may include: 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)
Benefity
- All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.
