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Python Quant Developer

London, Greater London, South East, England

Apply by 4 Nov 2025

£800 - £900 per day

Job Ref.: BH-55459-1

Job Description

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)
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