At a Glance
- Tasks: Develop advanced analytics and conduct quantitative strategy research.
- Company: Leading proprietary trading firm in London with a tech-focused culture.
- Benefits: Competitive salary, impactful work, and a dynamic environment.
- Other info: Exciting opportunities for growth and innovation in a fast-paced industry.
- Why this job: Make a real impact in trading strategies using cutting-edge technology.
- Qualifications: 2-5 years in Hedge Fund or Trading Firm, strong Python and SQL skills.
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 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
✨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 technical interviews by brushing up on your quantitative analysis skills. Practice common trading scenarios and be ready to discuss your thought process. We want you to shine!
✨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
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, let us know! Share specific examples that demonstrate your understanding and impact in this area.
Tailor Your Application: Don’t just send a generic CV and cover letter. We love it when candidates tailor their applications to our job description. Show us why you’re the perfect fit for the Quantitative Trading Analyst role!
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 don’t miss out on any important updates from us!
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 style 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 to face technical questions that test your analytical thinking and problem-solving abilities. Practice coding challenges in Python and SQL, and be ready to walk through your thought process during the interview.
✨Showcase Your Impact
Think of examples from your past experience where your work had a significant impact on trading outcomes. Highlighting these instances will illustrate your ability to contribute meaningfully to the team at Maven Securities.