Python Engineer - Referment Limited
eFinancialCareers
Python Engineer - Referment Limited
Yesterday by eFinancialCareers
eFinancialCareers jobs

Referment have partnered with one of London's top performing Hedge Funds to find a Python Engineer to join their team. As part of the Investment Platform Operations team, this role is central to enhancing a world-class quantitative investment platform, working closely with Strategy Managers and Researchers, creating tools and frameworks to improve the efficiency of testing, implementing, and monitoring trading pipelines.

The role focuses heavily on Python engineering with the developer using Python libraries (e.g., Pandas) for data manipulation and working within an event-driven architecture using Kafka for data transformations. Although experience with tools like Amazon S3 and Kafka is beneficial, the primary focus is on Python programming.

Key Responsibilities:

  • Lead and contribute to Python-based engineering projects that enhance the quantitative research and trading platform.
  • Automate and optimize critical trading workflows using Python to ensure operational efficiency and stability.
  • Work with Data Engineers and Strategy Managers to manage and optimize Python-based data products.
  • Collaborate with the SRE team to ensure the stability of the platform and make necessary Python-driven infrastructure upgrades.
  • Respond to real-time issues in trading pipelines, leveraging Python to ensure timely execution of trades.
  • Partner with Traders and Investment Operations to develop Python-based solutions that meet client specifications.

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
  • 2+ years of Python development experience in a commercial setting.
  • Strong interest in quantitative finance and Python-based financial data handling.
  • Commitment to engineering excellence and practical Python solutions.

The firm offers excellent compensation, career growth opportunities, and a dynamic, data-driven environment for Python-focused professional development.

Reference: 54892003
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