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- Tasks: Join a small team to develop a cutting-edge trading platform using Python.
- Company: Leading proprietary trading firm in the UK with a focus on innovation.
- Benefits: Competitive compensation, growth opportunities, and a meritocratic work environment.
- Why this job: Make an impact by building innovative financial solutions alongside traders and engineers.
- Qualifications: Experience in software development, especially with Python, and knowledge of distributed systems.
- Other info: Exciting greenfield project with potential for significant career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A leading proprietary trading firm in the United Kingdom is seeking an experienced software developer to join a small team responsible for developing a modern risk management and trading platform. This greenfield project will require expertise in Python and familiarity with distributed systems and large datasets.
The ideal candidate will thrive in a meritocratic environment with competitive compensation and opportunities for growth as they work alongside traders and engineers to build innovative financial solutions.
Quantitative Software Engineer - Trading Platform in London employer: DV Trading
Contact Detail:
DV Trading Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Software Engineer - Trading Platform in London
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and software development space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or personal project showcasing your Python prowess, make sure to highlight it during interviews. It’s a great way to demonstrate your expertise in real-world applications.
✨Tip Number 3
Prepare for technical challenges! Brush up on your coding skills and be ready to tackle some live coding exercises. We know it can be nerve-wracking, but practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Quantitative Software Engineer - Trading Platform in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it in past projects, especially if you've worked with large datasets or distributed systems.
Tailor Your CV and Cover Letter: Don’t just send a generic CV! We love seeing applications that are tailored to the role. Mention specific experiences that relate to risk management and trading platforms to catch our eye.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant to the role. Make it easy for us to see why you’re a great fit!
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 you’re keen on joining our team!
How to prepare for a job interview at DV Trading
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be prepared to discuss your previous projects and how you've used Python in real-world applications, especially in relation to trading platforms or risk management.
✨Understand Distributed Systems
Familiarise yourself with the principles of distributed systems. Be ready to explain how they work and why they're important in a trading environment. You might even be asked to solve a problem related to this during the interview.
✨Showcase Your Problem-Solving Skills
Prepare for technical questions that test your analytical thinking. Practice coding challenges that involve large datasets, as this will demonstrate your ability to handle the kind of data you'll encounter in the role.
✨Emphasise Team Collaboration
Since you'll be working closely with traders and engineers, highlight your experience in collaborative environments. Share examples of how you've successfully worked in teams to deliver innovative solutions, as this aligns with the firm's meritocratic culture.
