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- Tasks: Develop tools for quantitative trading strategies and enhance simulation frameworks.
- Company: Leading quantitative trading firm in Greater London with a collaborative culture.
- Benefits: Generous benefits, hybrid working opportunities, and wellness programs.
- Other info: Exciting opportunities for growth in a fast-paced environment.
- Why this job: Join a dynamic team and make an impact in the world of quantitative trading.
- Qualifications: Strong Python programming skills and a related degree required.
The predicted salary is between 36000 - 60000 £ per year.
A leading quantitative trading firm in Greater London is seeking a Quant Developer to join its EMEA Development team. This role involves developing tools for quantitative trading strategies, enhancing the simulation framework, and providing support for research tasks.
Ideal candidates will have a strong background in Python programming and a related degree. The workplace promotes a collaborative culture with generous benefits including hybrid working opportunities and wellness programs.
Quant Developer - Python Tools for Research & Backtests 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 for Research & Backtests
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a GitHub repository with your Python projects, especially those related to quantitative trading. 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 of trading strategies. Practise common coding challenges and be ready to discuss your thought process.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s the best way to ensure your application gets noticed.
We think you need these skills to ace Quant Developer - Python Tools for Research & Backtests
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python programming experience in your application. We want to see how you've used Python in past projects, especially if it relates to quantitative trading or research.
Tailor Your Application: Don’t just send a generic CV and cover letter. We love it when candidates tailor their applications to the role. Mention specific tools or frameworks you’ve worked with that align with our needs for developing trading strategies.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experiences without wading through unnecessary fluff.
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 genuinely interested in joining our team!
How to prepare for a job interview at Tower Research Capital
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your previous projects and how you've used Python to develop tools or enhance frameworks. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Understand Quantitative Trading Concepts
Familiarise yourself with the basics of quantitative trading strategies and simulation frameworks. Being able to discuss these concepts will show that you're not just a programmer, but someone who understands the domain you're working in. It might be helpful to read up on recent trends in quantitative finance.
✨Showcase Your Collaborative Spirit
Since the workplace promotes a collaborative culture, be prepared to share examples of how you've worked effectively in teams. Highlight any experiences where you contributed to group projects or supported colleagues in research tasks, as this will resonate well with the interviewers.
✨Ask Insightful Questions
Prepare some thoughtful questions about the role and the company culture. This shows your genuine interest in the position and helps you assess if it's the right fit for you. You might ask about the tools they currently use or how the team approaches problem-solving in their projects.