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- Tasks: Develop advanced analytics and conduct research on quantitative trading strategies.
- Company: Leading proprietary trading firm in Greater London with a dynamic culture.
- Benefits: Competitive salary, rewarding culture, and opportunities for significant impact.
- Why this job: Join a team where your analytical skills can shape trading strategies and drive success.
- Qualifications: 2-5 years in trading, proficiency in Python, and strong understanding of trading strategies.
- Other info: Exciting opportunities for career growth and professional development.
The predicted salary is between 36000 - 60000 £ per year.
A leading proprietary trading firm in Greater London seeks an experienced professional to develop advanced analytics infrastructure and conduct quantitative strategy research. The role requires 2-5 years in a Hedge Fund or Proprietary Trading environment, proficiency in Python, and a deep understanding of trading strategies. You will enhance existing strategies and support the onboarding process for Portfolio Managers. A dynamic, rewarding culture awaits with plenty of opportunities for impact.
Quantitative Trading Analyst — Data-Driven Strategy employer: Maven
Contact Detail:
Maven Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Trading Analyst — Data-Driven Strategy
✨Tip Number 1
Network like a pro! Reach out to folks in the trading industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative strategies and analytics projects. We want to see your Python prowess in action, so make sure it’s easy to access and visually appealing.
✨Tip Number 3
Prepare for those interviews! Brush up on your trading strategies and be ready to discuss how you’ve enhanced existing ones in past roles. We’re looking for candidates who can think on their feet and bring fresh ideas to the table.
✨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 the initiative to connect directly with us.
We think you need these skills to ace Quantitative Trading Analyst — Data-Driven Strategy
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in a Hedge Fund or Proprietary Trading environment. We want to see how your 2-5 years of experience can bring value to our team, so don’t hold back!
Python Proficiency is Key: Since proficiency in Python is a must-have, include specific examples of projects or tasks where you've used Python effectively. This will help us understand your technical capabilities and how you can contribute to our analytics infrastructure.
Understand Our Culture: We’re all about a dynamic and rewarding culture, so let your personality shine through! Share why you’re excited about the opportunity and how you can make an impact at StudySmarter.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting role. We can’t wait to hear from you!
How to prepare for a job interview at Maven
✨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 data analytics to drive decisions in your previous roles.
✨Python Proficiency is Key
Since proficiency in Python is a must, make sure you can demonstrate your coding skills. Consider preparing a small project or example that showcases your ability to develop analytics infrastructure relevant to trading.
✨Understand the Firm's Culture
Research the proprietary trading firm’s culture and values. Be ready to discuss how your experience aligns with their dynamic environment and how you can contribute to enhancing existing strategies.
✨Prepare for Scenario Questions
Expect scenario-based questions that test your problem-solving skills in real-time trading situations. Practice articulating your thought process clearly and concisely, as this will show your analytical mindset.
