At a Glance
- Tasks: Develop and optimise real-time trading platforms while collaborating with traders.
- Company: Leading trading firm in Greater London with a dynamic work culture.
- Benefits: Hybrid work environment, competitive salary, and opportunities for professional growth.
- Other info: Exciting opportunity for career advancement in a thriving industry.
- Why this job: Join a cutting-edge team and make an impact in the fast-paced trading world.
- Qualifications: Strong Python skills and experience in systematic equities or futures required.
The predicted salary is between 60000 - 80000 £ per year.
Capital Markets Recruitment is seeking a skilled Quantitative Developer/Python Engineer to join a leading trading firm in Greater London. This role offers the chance to develop and optimize real-time trading platforms and collaborate closely with traders in a hybrid work environment.
The ideal candidate will have:
- Strong Python skills
- Experience in systematic equities or futures
- The ability to build analytical tools for portfolio risk management
A Bachelor's or Master's in a relevant field is required.
Real-Time Quant Developer | Python Engineer (Trading) employer: Capital Markets Recruitment
Join a leading trading firm in Greater London, where innovation meets collaboration in a dynamic hybrid work environment. As a Real-Time Quant Developer, you'll not only enhance your technical skills but also have ample opportunities for professional growth while working alongside experienced traders. Enjoy a culture that values creativity and teamwork, making it an excellent place for those seeking meaningful and rewarding employment.
Contact Details:
Capital Markets Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Real-Time Quant Developer | Python Engineer (Trading)
✨Tip Number 1
Network like a pro! Reach out to professionals in the trading and quant development space on LinkedIn. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those related to trading or risk management. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding trading concepts. Practice common algorithm questions and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Real-Time Quant Developer | Python Engineer (Trading)
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your Python expertise in your application. We want to see how you've used it in real-world scenarios, especially in trading or analytics. Don't just list your skills; give us examples of projects or tools you've developed!
Tailor Your CV and Cover Letter:When applying, customise your CV and cover letter to reflect the job description. We love seeing candidates who take the time to align their experiences with what we're looking for. Mention any relevant experience in systematic equities or futures to catch our eye!
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured documents that are easy to read. Use bullet points where necessary and avoid jargon unless it's relevant to the role. Remember, clarity is key!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Capital Markets Recruitment
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with libraries like Pandas and NumPy, and be prepared to solve coding problems on the spot. Practising common algorithms and data structures can really help you shine.
✨Understand the Trading Environment
Familiarise yourself with the trading platforms and tools used in systematic equities or futures. Knowing how real-time trading works and being able to discuss market trends will show that you're not just a techie but also understand the business side of things.
✨Prepare for Technical Questions
Expect technical questions that test your analytical skills and problem-solving abilities. Review concepts related to portfolio risk management and be ready to explain how you've built analytical tools in the past. Real-world examples will make your answers more impactful.
✨Show Your Collaborative Spirit
Since this role involves working closely with traders, highlight any past experiences where you've collaborated with non-technical teams. Discuss how you communicate complex ideas simply and how you adapt your work style to fit a hybrid environment.
