Python Quantitative Developer

Python Quantitative Developer Rate - DOE Hybrid working - London Role Overview: The Quantitative Developer will design, implement, and maintain analytical models and processes, with a strong focus on Python development, leveraging statistical libraries, and utilising cloud platforms such as AWS, Azure and Snowflake for scalable deployment. Key Responsibilities: • Develop and optimise quantitative models and analytical tools in Python • Leverage statistical g packages (e.g., pandas, NumPy) for data analysis and modelling • Work closely with portfolio managers, researchers, and technology teams to deploy robust, scalable solutions • Design and implement data pipelines and workflows utilising AWS or Azure infrastructures • Ensure best practices in code quality, version control, and deployment automation • Provide technical support and documentation for developed solutions Required Skills and Experience: • Proven experience in Python programming for quantitative or analytical applications • Strong proficiency with relevant statistical libraries Pyth • Practical experience utilising AWS and/or Azure for deployment and workflow orchestration • Solid understanding of financial data and modelling techniques (preferred) • Excellent analytical, communication, and problem-solving skills • Experience with data engineering & ETL tools such as Apache Airflow or custom ETL scripts. • Strong problem-solving skills with a keen analytical mindset especially in handling large data sets and complex data transformations. • Strong experience in setting up an underlying test framework for complex data calculations and processing. • Strong familiarity with engineering and data architecture principles. • Prior experience in a front office or financial services environment (desirable)