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- Tasks: Join the trading team to enhance execution and manage proprietary trading systems.
- Company: A leading global Quant Investment manager with £20 billion under management.
- Benefits: Enjoy a hybrid work model, competitive salary, bonuses, and ongoing training.
- Why this job: Work in a relaxed, innovative environment with smart colleagues passionate about technology.
- Qualifications: 5+ years of Python experience, knowledge of data structures, and familiarity with Linux and GitHub Actions.
- Other info: Opportunity to shape architecture and prototype new technologies in a fast-paced setting.
The predicted salary is between 90000 - 120000 £ per year.
Our client is one of the largest Quant Investment managers globally, with around £20 billion under management. They are mainly quant based but have high frequency and systematic exposure. The role sits with the 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 in 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.
The environment is that of Facebook or Google, relaxed and open with time to think and make the right decisions. The atmosphere is calm and relaxed with an open dress code. This is a role for techies, those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about.
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 large bonus from day 1.
My client is based in London, with 2 days in the office.
Technologies: Python, Javascript, Django.
Contact Detail:
Quant Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Engineer Trading
✨Tip Number 1
Familiarise yourself with the latest trends in Python development, especially those relevant to trading systems. Engage with online communities or forums where professionals discuss innovations in Python and trading technology.
✨Tip Number 2
Showcase your experience with performance-sensitive code by preparing examples of past projects. Be ready to discuss how you optimised code for speed and efficiency during interviews.
✨Tip Number 3
Network with professionals in the quant investment space. Attend meetups or webinars focused on trading technology to connect with potential colleagues and learn more about the company culture.
✨Tip Number 4
Demonstrate your understanding of agile development practices. Be prepared to discuss how you've adapted to changing requirements in previous roles and how you can contribute to a fast-paced environment.
We think you need these skills to ace Python Engineer Trading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any relevant technologies mentioned in the job description. Emphasise your 5+ years of experience and any specific projects that showcase your skills in building demanding, live systems.
Craft a Compelling Cover Letter: In your cover letter, express your passion for technology and trading. Mention how your background aligns with the company's focus on innovation and efficiency. Be sure to include examples of how you've contributed to similar environments in the past.
Showcase Relevant Projects: If you have worked on projects involving performance-sensitive code or user-friendly APIs, be sure to detail these in your application. Highlight your familiarity with tools like Github Actions and Linux, as these are crucial for the role.
Demonstrate Continuous Learning: Mention any recent courses, certifications, or personal projects that show you keep up with the latest developments in the Python ecosystem. This will demonstrate your commitment to professional growth and your ability to adapt to new technologies.
How to prepare for a job interview at Quant Capital
✨Showcase Your Python Expertise
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've built demanding, live systems and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Knowledge of the Ecosystem
Familiarise yourself with the latest trends and libraries in the Python ecosystem. Mention any third-party libraries you’ve used and how they contributed to your projects, as this shows you’re up-to-date and proactive.
✨Understand the Trading Environment
Research the basics of quantitative trading and how technology plays a role in it. Being able to speak knowledgeably about the trading environment will impress your interviewers and show your genuine interest in the field.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of data structures and performance-sensitive coding. Practise coding problems and be ready to explain your thought process clearly, as communication is key in a collaborative environment.
