Job Summary
Senior Quant Algo Developer at Barclays supporting the Equity Flow Derivatives business. Build a modern algorithmic volatility trading stack and markets‑facing analytics. Work with traders, developers, quants, compliance and risk teams to manage risk and positively impact revenue generation.
Responsibilities
- Design, develop and improve software using industry‑aligned programming languages, frameworks, and tools.
- Ensure code is scalable, maintainable, and optimised for performance.
- Collaborate cross‑functionally with product managers, designers and other engineers to define software requirements, devise solution strategies and ensure seamless integration and alignment with business objectives.
- Participate in peer code reviews and promote a culture of code quality and knowledge sharing.
- Stay informed of industry technology trends and innovations and contribute to technical communities.
- Adhere to secure coding practices to mitigate vulnerabilities, protect sensitive data and ensure secure software solutions.
- Implement effective unit‑testing practices to ensure proper code design, readability and reliability.
Qualifications
- Algo development experience with low‑latency modern C++.
- Experience with data engineering practices using KDB+/q.
- Practical knowledge of volatility trading and market microstructure in equity derivatives.
- Master’s or PhD in a STEM field (math, statistics, computer science) – preferred.
- Machine learning and optimisation theory.
- Competent level of Python and Rust.
- Assessments may cover risk and controls, communication skills, stakeholder interaction and technical domain knowledge.
Location: London office.
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