We are working with a Macro Fixed Income Hedge Fund inLondon, looking to hire an experienced Quantitative SoftwareEngineer/Developer. This is not a platform hedge fund, nor coveredby several recruiters. They are a high performing group that enjoysa strong track record and low staff turnover. The fund takes acollaborative, research/analysis driven approach across theinvestment process making this a significant and highly prominentrole for their growth and success. Their focus can be described asbottom-up macro, predominantly concentrated on interest ratemarkets as well as FX and Commodities. As part of their growth,they are seeking a front office Software Engineer/Developer todevelop and optimize their IT infrastructure, which is essentialfor the research and trading teams. As part of the quant team, youwill have a range of responsibilities. These will include, but notbe limited to, implementing, and enhancing systems in areas such asdata engineering, quantitative research, risk, and operationsalongside systematizing macroeconomic models. This role is data-intensive and will involve working in an exciting and dynamicenvironment that requires adaptability and pragmatism. The idealcandidate will have a strong software engineering background,ideally (but not required) from within the Macro/Rates space,excellent programming skills, and experience in developing andimplementing quantitative libraries and systems. This hire willinvolve working closely with portfolio managers, traders, andquants to develop and maintain IT systems that enhance tradingstrategies and decision-making processes. In terms ofcharacteristics the fund hires are high performing self-starterswith low ego and the ability to be pragmatic in their approach towork. This is an excellent opportunity to join a highly successfulteam with a collaborative culture in a role with significantexposure to the investment process. Requirements: - Strongacademics in Computer Science, Mathematics, or a related technicaldiscipline. - 2+ years of experience in quantitative softwaredevelopment. - Interest in finance and macroeconomics. -Proficiency in Python and Python libraries such as Pandas andNumPy. - Strong software engineering fundamentals with a focus onwriting clean, well-tested code. - Understanding of object-orientedprogramming, design patterns, and best practices like refactoring,unit testing, and CI/CD. - Experience building data pipelines andorchestration frameworks such as Airflow. - Knowledge ofimplementing REST APIs and visualization frameworks such as Dash. -Experience with Unix-based systems. - Experience with relationaland time-series databases. Due to demand, we are advertising thisrole anonymously. If you would prefer to speak to someone beforesubmitting a CV, please send a blank application to the role andsomeone will be in touch to discuss. We can only respond to highlyqualified candidates.
