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Software Engineer, Python
DRW is a diversified trading firm with over three decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Our team is responsible for designing and developing tools and infrastructure used by Traders and Quantitative Researchers. As a Software Engineer, you will collaborate with people across the firm to provide cutting-edge technology solutions that expand our existing trading platform, all while promoting software engineering best practices.
Key Responsibilities:
- Manage the day-to-day technology requirements of our proprietary trading systems.
- Accelerate trading and research analysis workflows by utilizing and expanding on DRW's in-house infrastructure and improve productivity.
- Evaluate new technologies and identify/deprecate legacy code to improve on the current technological stack.
- Collaborate with other engineers, traders, and researchers to design custom frameworks or end-user solutions.
- Write performance-sensitive code and user-friendly APIs to facilitate access to our in-house data analysis infrastructure.
- Lead design discussions and conduct code reviews to maintain high standards and quality of written code.
Requirements:
- Bachelor's or Master's degree in Computer Science or related Engineering discipline.
- 5+ years of experience building demanding, live systems in Python.
- In-depth knowledge of Python and keeps up with current standards (3.8 onwards).
- Up-to-date knowledge of the Python ecosystem: third-party libraries, packaging in-built Python libraries.
- Knowledge of concurrent programming a major plus.
- Solid understanding of data structures.
- Strong verbal and written communication skills.
- Familiarity with GitHub Actions.
- Familiarity with Linux.
- Ability to mentor others and lead small projects.
- Ability to work with tech staff and end users that are located globally.
Bonus Points:
- Experience in the trading industry.
- Knowledge with Anaconda.
- Familiarity with the scientific Python stack (pandas, numpy, scipy, TensorFlow).
