Senior Quant Developer

Responsibilities

• Design, develop, and maintain high-performance trading platforms and risk management systems.
• Build and modernize quantitative finance infrastructure using Python-driven frameworks and AI-augmented workflows.
• Collaborate with traders, strategists, and stakeholders to translate complex requirements into scalable technological solutions.
• Implement new features and enhancements to improve system performance, reliability, and user experience.
• Drive innovation by staying updated on technological advancements and industry trends in quantitative finance.
• Lead technical direction and mentor less experienced specialists through structured assignments.

Requirements

• Extensive experience with Python 3+ (specifically pandas, numpy, and matplotlib).
• Strong proficiency in software engineering fundamentals, including OOP, TDD, and code documentation.
• Proven experience applying AI/ML tools in production, such as LLM-based assistants, prompt engineering, and automation.
• Familiarity with modern development and deployment patterns using Git, CI, Docker, and MongoDB.
• PhD or Master's degree in Computer Science, Applied Mathematics, Physics, or a related mathematical field.

Preferred Qualifications

• Experience developing internal tools or user-facing applications using React and Express.
• Knowledge of mathematical finance concepts (e.g., Black Scholes, Hull-White).
• Understanding of numerical computation methods such as optimization, Monte-Carlo, and integration.

About the Company

Barclays is a leading global financial institution dedicated to excellence, integrity, and service. We provide a collaborative environment where professionals can build cutting-edge financial technology and drive meaningful impact in the investment banking domain.