Job Description: Python Engineer at a Leading Hedge Fund
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This range is provided by Referment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Referment has partnered with one of London's top-performing Hedge Funds to find a Python Engineer to join their team. This role is part of the Investment Platform Operations team, focusing on enhancing a world-class quantitative investment platform. The engineer will work closely with Strategy Managers and Researchers, creating tools and frameworks to improve testing, implementation, and monitoring of trading pipelines.
The role emphasizes Python engineering, utilizing libraries like Pandas for data manipulation and working within an event-driven architecture using Kafka. Experience with tools like Amazon S3 and Kafka is beneficial but not essential; the primary focus is on Python programming.
Key Responsibilities:
* Lead and contribute to Python-based projects that improve the quantitative research and trading platform.
* Automate and optimize trading workflows using Python to ensure operational efficiency and stability.
* Collaborate with Data Engineers and Strategy Managers to manage Python-based data products.
* Work with the SRE team to maintain platform stability and implement Python-driven infrastructure upgrades.
* Respond to real-time issues in trading pipelines, ensuring timely trade execution with Python.
* Develop Python-based solutions in partnership with Traders and Investment Operations to meet client needs.
Requirements:
* Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
* At least 2 years of Python development experience in a commercial environment.
* 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.
Additional Details:
* Seniority level: Mid-Senior level
* Employment type: Full-time
* Job function: Information Technology
* Industries: Capital Markets, Financial Services, Investment Management
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