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Embark on your journey as a Quantitative Developer here at Barclays. Are you passionate about developing complex systems, and ready to make an impact as part of our Core Engineering Analytics Platform team? As part of this team, you will contribute to the development of the architecture and frameworks within which our the modelling teams can focus on product specific code across a range of businesses. This is vital to drive levels of standardisation across functions. Further, you will gain exposure across the business lines developing and supporting our new analytics service, which is used by both product and technology teams. Our global team collaborates closely with traders, risk managers, and technologists to deliver top-tier quantitative solutions.
Job Responsibility:
To design, develop, and evolve trading, risk management and other platforms that facilitate trading and regulatory objectives within the investment banking domain
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:
Excellent C++ programming skills
The ability to develop code to a high-level working with large legacy databases when required
Proven ability to collaborate with other teams and stakeholders on a solution focussed approach to development
Experience working in a shared codebase within a multi-developer environment
Nice to have:
Other coding languages, especially Python, would be beneficial
Willingness to develop knowledge base in relevant financial products as the role requires