Software Engineer - Quantitative analysis
Dublin, Ireland
4d ago


Technology is at the forefront of our operation. Requiring leading edge and innovative use of technology, SIG is a leading force in applying technology to trading.

At SIG, our technologists enjoy working on highly complex in-house hardware and software running on the latest platforms available, solving a myriad of challenges to further our growth.

Our developers and engineers work together to build solutions using the newest and fastest technology available. We work in a complex, distributed environment where we continually strive to improve systems capacity, increase speed, ensure stability and mitigate risk in every system.

With a flat structure and a collaborative environment, our people continue to grow and learn throughout their careers as ever shifting market demands change the nature of our environment.

You will be involved in the design and development of custom Python and C# systems used to monitor and analyse the significant amount of data collected daily to aid SIG’s continual trading infrastructure improvements.

Principally, you will bring strong software engineering skills to the role, experience of analysing big data sets, building reporting systems, and most importantly critical thinking.

You will be working closely with quantitative analysts and front office trading teams, as well as diverse technical teams, to identify and provide reliable dataset pipelines critical to SIG’s analysis and trading operations.

What we're looking for

  • Analysis, design and development of Python and C# systems, taking projects through the entire software development cycle from requirements gathering to product release.
  • Maintaining and enhancing existing data pipelines, analysis and reporting systems.
  • Strong interpersonal and communication skills for interacting with quantitative analysts, traders, other software developers and engineers.
  • Analysing large complex data sets, building reports generation and flagging anomalies.
  • Working with various Teams in SIG to help explain and take advantage the output of the data analysis.
  • Statistical and graphical analysis of key findings
  • Degree in a technical discipline or equivalent experience.
  • Experience of both Python and C# a plus.
  • Linux experience is a plus.
  • Experience in analysing big data sets and present the outputs of the analysis in a clear precise manner.
  • Finance experience or knowledge of how markets work is a plus.
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