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- Tasks: Conceptualise and enhance trading strategies using advanced statistical techniques.
- Company: Leading global market maker in London with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join a fast-paced team and make an impact in financial markets.
- Qualifications: Degree in a quantitative field and programming experience in Python, R, or C++.
- Other info: Exciting opportunity to work on cutting-edge trading models and signals.
The predicted salary is between 36000 - 60000 £ per year.
A leading global market maker in London is seeking a Quantitative Researcher to conceptualize and improve trading strategies using advanced statistical techniques.
Candidates should hold a degree in a quantitative field and have experience with programming languages like Python, R, or C++.
The role involves backtesting models and conducting research for monetization systems.
Join a fast-paced environment focused on innovation in financial markets.
Quantitative Research Scientist — Trading Models & Signals in City of London employer: Citadel Enterprise Americas LLC
Contact Detail:
Citadel Enterprise Americas LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Research Scientist — Trading Models & Signals in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the trading and quantitative research space. Attend meetups, webinars, or even just connect on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, R, or C++. This is your chance to demonstrate your ability to conceptualise and improve trading strategies through advanced statistical techniques.
✨Tip Number 3
Prepare for technical interviews! Brush up on your backtesting models and be ready to discuss your research methodologies. Practising common quantitative problems can give you the edge you need to impress potential employers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Quantitative Research Scientist — Trading Models & Signals in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your degree and any relevant experience in quantitative fields. We want to see how your background aligns with the role, so don’t hold back on showcasing your programming skills in Python, R, or C++!
Be Specific About Your Experience: When discussing your past projects, focus on specific examples where you’ve used advanced statistical techniques or backtested models. This helps us understand your hands-on experience and how you can contribute to our trading strategies.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the job description. Mention how your innovative mindset fits into our fast-paced environment and how you can help us improve our trading models.
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. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Citadel Enterprise Americas LLC
✨Know Your Numbers
Brush up on your statistical techniques and quantitative methods. Be ready to discuss how you've applied these in past projects, especially in trading strategies. Having concrete examples will show your depth of knowledge.
✨Show Off Your Coding Skills
Make sure you're comfortable with Python, R, or C++. Prepare to talk about specific coding challenges you've faced and how you overcame them. You might even be asked to solve a problem on the spot, so practice coding under pressure!
✨Backtesting is Key
Understand the importance of backtesting models in trading. Be prepared to explain your approach to backtesting and any tools or frameworks you've used. This shows that you can not only create models but also validate their effectiveness.
✨Stay Current with Market Trends
Keep yourself updated on the latest trends in financial markets and trading strategies. Being able to discuss recent developments or innovations will demonstrate your passion for the field and your proactive nature.
