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The Data & Quant Implementation Analyst will manage AHL’s systematic trading system and models, ensuring data integrity and accurate implementation of new business initiatives. They will use Python for data analytics and collaborate with various stakeholders to enhance investment management processes, resolve trading model issues, and support the trading architecture.

The C# Developer will take ownership of the full delivery process from requirements gathering to deployment, participate in project planning and design, and engage in code reviews. The role involves maintaining existing systems, supporting production requests, and mentoring juniors while focusing on continuous improvement and collaborative engineering practices.

As a Quant Developer at AHL, you will collaborate with Quant Researchers to implement trading strategies, build research frameworks, develop quant libraries, and create risk analysis tools, leveraging a range of technologies and programming languages.