Python Developer - Experienced Hire
Experienced Python developer on the Options trading strategy development team at a quantitative trading firm, building and improving the Python platform researchers use to analyze data and interact with trading systems, including production data pipelines. Core tech: Python with the scientific stack, distributed message-based systems, and large datasets.
- Compensation
- Not disclosed
- Location
- Dublin, Ireland
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- Degree in Computer Science or other science/technical field
- Experience with distributed message-based systems and server-side software development with proven product delivery
- Experience with Python and the Python scientific stack
- Full software development life cycle experience and exposure to agile development
- Willingness to learn new technologies and propose novel technical solutions
- Ability to self-manage, self-motivate, and seek process improvements
- Strong interpersonal and communication skills
- Attention to detail and ability to react to changing priorities
- Willingness to assist with deployment and maintenance of production software
Nice to have
- Key concepts of finance and trading as applied to systems development
- Networking and operating systems basics: Linux and Windows
- UI/UX design
- Web services and development frameworks
- Experience in Java, C#, or another OOP language
- Experience or interest in statistics
- Experience with source control, CI/CD pipelines, and automated testing
- Experience using relational and NoSQL databases
Full description
Overview
At Susquehanna International Group, our technologists play a critical role in shaping the future of electronic trading. We build high-performance systems designed to compete in some of the most demanding and latency-sensitive markets in the world.
Our Python software engineers are employed in building, maintaining and supporting new and existing quantitative study environments that are fundamental to our success and competitiveness in the current trading environment. We constantly improve the system so it is stable, fast and easy to use for our researchers.
Job Summary
- Part of the Options trading strategy development team
- Responsible for the maintenance and constant improvement of our python-based platform that enables quantitative researchers to interact efficiently with trading systems, empowering powerful and fast data analysis and studies
- Work with Traders, Quantitative Researchers and other Strategy Developers to facilitate new trading behaviours
- Work with large datasets to set up and maintain production-quality data pipelines
What we’re looking for
- Degree in Computer Science or other science or technical field
- Experience of distributed message-based systems and server-side software development with proven product delivery success
- Experience with the Python language and the Python scientific stack
- Full software development life cycle experience and exposure to agile software development
- Willingness to learn new technologies and to propose novel technical solutions
- The ability to self-manage, self-motivate, and seek process improvement opportunities
- Strong interpersonal and communication skills for interacting with quantitative researchers and other engineers
- Attention to detail, self-motivation and ability to react to changing prioritiesWillingness to participate and provide assistance in the deployment and maintenance of our production software
It would be great if you also know about
- Key concepts of finance and trading and their requirements as applied to systems development
- Networking and operating systems basics: Linux and Windows
- UI/UX design
- Web services and development frameworks
- Experience in Java, C# or other OOP language
- Experience or interest in statistics
- Experience with source control, CI/CD pipelines and automated testing
- Experience using relational and NoSQL databases