Python Engineer Trading

Python Engineer Trading 150,000 Plus Bonus

Our client is one of the largest Quant trading firms globally. The role sits within a trading team on the bleeding edge of technology as well as execution.

This is an environment of science and intellectuals. The firm is known globally for its attitudes and rigour more importantly, you will be surrounded by smart people deeply interested in teaching what they know, and in learning from you.

The firm has a reputation for bright minds and interesting ideas for alpha generation. Technology plays a serious part to their business in an operation that runs 24/7 globally. You will play a serious part in making the London office more efficient in its execution.

Development is agile and fast paced. As requirements evolve you will leverage the best of the open source community, sometimes substituting your own solutions where greater performance is needed. You will be encouraged to evangelise and prototype new technologies and through doing so you will help shape the architecture.

• Manage the day-to-day technology requirements of our proprietary trading systems.
• Accelerate trading and research analysis workflows by utilizing and expanding on in-house infrastructure and improve productivity
• Write performance sensitive code and user-friendly APIs to facilitate access to our in-house data analysis infrastructure

Python Engineers Must Have:

• 5+ years of experience building demanding, live systems in Python
• In-depth knowledge of Python and keeps up with current standards
• Up-to-date knowledge of the Python ecosystem: third party libraries, packaging in-built Python libraries
• Solid understanding of data structures
• Familiarity with Github Actions
• Familiarity with Linux

You will be joining a progressive and exciting company committed to excellence. They offer an excellent working environment with ongoing training and a structured career path. You can also expect an excellent salary and benefits package. Including a bonus from day 1.

My client is based in London

3+ days in the office