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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 Cross Markets Core Engineering team? As part of this team, you will contribute to the development of the architecture and frameworks within form the Quantitative libraries and sales platforms used across a range of Asset Classes. In addition to this we focused on migrating analytical systems and functionality across Cross Markets to the strategic Dart Platform where we will be focused on improving the platform. Your role in Python programming will be vital to the ongoing success of our Quantitative Analytics functions across Markets. Our global team collaborates closely with traders, risk managers, and technologists to deliver top-tier quantitative solutions.
Job Responsibility:
Contribute to the development of the architecture and frameworks within form the Quantitative libraries and sales platforms used across a range of Asset Classes
Focused on migrating analytical systems and functionality across Cross Markets to the strategic Dart Platform where we will be focused on improving the platform
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 Python programming skills
A proven understanding and experience in software engineering principles including design architecture and code reviews
A bachelor’s degree in computer science or similar technical field
Previous professional experience in software engineering using Python
Familiarity with relational databases (e.g., SQL Server), and knowledge of SQL queries
Organized, highly detailed-oriented and proactive problem solver
Ensure compliance with data governance, controls, and audit requirements.
Nice to have:
Proven ability to collaborate with other teams and stakeholders on a solution focussed approach to development
Willingness to develop knowledge base in relevant financial products as the role requires
Excellent organisation with effective attention to detail
High motivation and strategic thought
Exposure to financial products (Rates, FX, Credit, Equities, Commodities)
Familiarity with data pipeline tools (e.g., Airflow, Spark, kdb+/q)
Understanding of data quality, controls, and compliance in a regulated environment.