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- Tasks: Enhance research frameworks and develop Python tools for quantitative trading strategies.
- Company: Leading high-frequency trading firm in London with a focus on innovation.
- Benefits: Competitive salary, generous vacation, and comprehensive benefits.
- Why this job: Make an impact in quantitative trading while enjoying a dynamic and collaborative environment.
- Qualifications: Experience in Python and a passion for quantitative trading.
- Other info: Great opportunity for career growth and work-life balance.
The predicted salary is between 43200 - 72000 £ per year.
Join a leading high-frequency trading firm as a Quant Developer in London, where you'll enhance the research framework and support quantitative trading strategies. This role offers the chance to work closely with on-site researchers, developing Python tools and improving existing frameworks.
Enjoy a dynamic, collaborative environment with a focus on innovation and quality of life, including a competitive salary, generous vacation, and comprehensive benefits. If you're passionate about quantitative trading and eager to make an impact, this is the perfect opportunity for you.
Quant Developer — Python Tools & Research Framework in London employer: Tower Research Capital
Contact Detail:
Tower Research Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer — Python Tools & Research Framework in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at high-frequency trading firms. A friendly chat can lead to valuable insights and even job referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects related to quantitative trading. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of quantitative strategies. Practice common interview questions and coding challenges to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Quant Developer — Python Tools & Research Framework in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any relevant quantitative trading projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative trading and how you can contribute to our research framework. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled complex problems in the past. We’re looking for innovative thinkers who can enhance our tools and frameworks, so let us know how you’ve done this before!
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’s super easy – just follow the prompts!
How to prepare for a job interview at Tower Research Capital
✨Know Your Python Inside Out
As a Quant Developer, you'll be expected to have a solid grasp of Python. Brush up on your coding skills and be ready to demonstrate your knowledge through practical examples or coding challenges during the interview.
✨Understand Quantitative Trading Concepts
Familiarise yourself with key concepts in quantitative trading. Be prepared to discuss how you can enhance the research framework and support trading strategies. Showing that you understand the industry will set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving abilities and coding skills. Practice common algorithms and data structures, and be ready to explain your thought process clearly. This will showcase your analytical skills and ability to work under pressure.
✨Show Your Collaborative Spirit
This role involves working closely with researchers, so highlight your teamwork experience. Share examples of past collaborations and how you contributed to successful projects. Emphasising your ability to work in a dynamic environment will resonate well with the interviewers.
