Quantitative Software Engineer/Developer for Macro Fixed Income Hedge Fund

3 weeks ago


London, Greater London, United Kingdom Burdett Partners Limited Full time

We are seeking a highly skilled Quantitative Software Engineer/Developer to join our team at a Macro Fixed Income Hedge Fund in London. This is a unique opportunity to work with a high-performing group that enjoys a strong track record and low staff turnover. The fund takes a collaborative, research-driven approach across the investment process, making this a significant and highly prominent role for their growth and success.

As part of their growth, they are looking for a front office Software Engineer/Developer to develop and optimize their IT infrastructure, which is essential for the research and trading teams. The ideal candidate will have a strong software engineering background, excellent programming skills, and experience in developing and implementing quantitative libraries and systems.

The successful candidate will work closely with portfolio managers, traders, and quants to develop and maintain IT systems that enhance trading strategies and decision-making processes. They will be responsible for implementing, and enhancing systems in areas such as data engineering, quantitative research, risk, and operations, as well as systematizing macroeconomic models.

Requirements:

  • Strong academics in Computer Science, Mathematics, or a related technical discipline.
  • 2+ years of experience in quantitative software development.
  • Interest in finance and macroeconomics.
  • Proficiency in Python and Python libraries such as Pandas and NumPy.
  • Strong software engineering fundamentals with a focus on writing clean, well-tested code.
  • Understanding of object-oriented programming, design patterns, and best practices like refactoring, unit testing, and CI/CD.
  • Experience building data pipelines and orchestration frameworks such as Airflow.
  • Knowledge of implementing REST APIs and visualization frameworks such as Dash.
  • Experience with Unix-based systems.
  • Experience with relational and time-series databases.


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