Quantitative Data DevOps

The Quantitative Engineering and Data group in Dublin is a new group focused on developing tools, processes and datasets to enable revenue generation using data at Susquehanna. We partner with Quantitative Researchers, Traders and other engineering teams in Dublin and across the globe. The QED Dublin group is on an exciting strategic mission that will transform the speed of innovation of the business.

Job Summary:

You will work closely with the global engineering and DevOps resources to develop and operate the data processing systems that are a critical dependency for trading and quantitative research. The primary focus of the role is to improve the reliability and operational effectiveness of the data processing systems. You will also be critical in the productionisation of new datasets that unlock revenue for the business. The QED Dublin group is part of a global QED team that operates a follow-the-sun model for operations.

• Member of the Quantitative Engineering and Data group
• Responsible for the operations of critical QED data processing systems.
• Driving change that improves the uptime and reliability of systems, including configuration and development work where appropriate.
• Act as an ambassador for excellence by ensuring change into the system is of a high quality, and fits into the QED global operating model.
• Member of global follow-the-sun team, acting during EMEA hours.
• Develop expertise in Susquehanna’s systems and business.

What we’re looking for:

• Professional operations mindset coupled with practical development experience to improve systems.
• Degree in a numerate subject.
• Evidence of taking accountability for system delivery.
• 2+ years professional experience using Python as a scripting language for orchestrating processes and systems.
• Experience with Airflow and other industry standard tooling for orchestration would be beneficial.
• Experience working in a Linux environment.
• The ability to self-manage, self-motivate, and seek process improvement opportunities.
• Strong interpersonal and communication skills that enable you to collaborate effectively in a complex domain.
• Attention to detail and ability to react to changing priorities.
• A general interest in quantitative trading.