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- Tasks: Develop advanced analytics and conduct quantitative strategy research.
- Company: Leading proprietary trading firm in London with a tech-focused culture.
- Benefits: Impactful role with competitive salary and growth opportunities.
- Other info: Exciting environment with significant impact on trading outcomes.
- Why this job: Join a dynamic team and shape the future of trading strategies.
- Qualifications: 2-5 years in trading, strong Python and SQL skills required.
The predicted salary is between 60000 - 80000 £ per year.
Maven Securities, a leading proprietary trading firm in London, is seeking a professional to develop advanced analytics infrastructure and conduct quantitative strategy research. The successful candidate will have 2–5 years of experience in a Hedge Fund or Proprietary Trading Firm, possess strong Python and SQL skills, and demonstrate a deep understanding of trading strategies. This role offers a rewarding environment with significant impact opportunities and a strong focus on technology.
Quantitative Trading Analyst: Research & Analytics in London employer: Maven Securities
Contact Detail:
Maven Securities Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Trading Analyst: Research & Analytics in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the trading industry on LinkedIn or attend relevant meetups. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects, especially those related to trading strategies. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your quantitative analysis knowledge. We recommend practising common interview questions and even doing mock interviews with friends or mentors to build 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 take that extra step to connect with us directly.
We think you need these skills to ace Quantitative Trading Analyst: Research & Analytics in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL skills in your application. We want to see how you've used these tools in your previous roles, especially in a trading context.
Quantitative Strategy Experience: If you've got experience in developing or researching trading strategies, don’t hold back! Share specific examples that demonstrate your understanding and impact in this area.
Tailor Your Application: Take the time to tailor your CV and cover letter to the role at Maven Securities. We love seeing candidates who understand our focus on technology and analytics.
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 this exciting opportunity!
How to prepare for a job interview at Maven Securities
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific trading strategies you've worked on. Be prepared to explain how you used Python and SQL in your previous roles, as this will show your technical prowess.
✨Research Maven Securities
Familiarise yourself with Maven Securities' trading strategies and recent market activities. Understanding their approach will help you tailor your answers and demonstrate your genuine interest in the firm.
✨Prepare for Technical Questions
Expect technical questions that test your analytical thinking and problem-solving abilities. Practice coding challenges in Python and SQL, as well as discussing your thought process when developing analytics infrastructure.
✨Showcase Your Impact
Think of examples from your past experience where your work had a significant impact on trading outcomes. Be ready to share these stories, highlighting your contributions and the results achieved, as this aligns with the role's focus on making a difference.