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- Tasks: Generate and test alpha signals while building systematic trading strategies.
- Company: Join a leading global quantitative trading firm with a top-notch team.
- Benefits: Enjoy competitive compensation and performance bonuses.
- Why this job: Make an impact in the fast-paced world of futures trading with cutting-edge technology.
- Qualifications: 3+ years in quantitative roles with strong Python and/or C++ skills.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 60000 - 80000 £ per year.
A leading global quantitative trading firm is seeking a skilled Quantitative Researcher for their newly formed futures trading team. The position involves generating and testing alpha signals, building systematic trading strategies, and collaborating with a high-calibre team.
The ideal candidate should have at least 3 years of experience in quantitative roles, strong coding skills in Python and/or C++, and a proven track record in strategy development.
This role offers competitive compensation and a performance bonus.
HFT Futures Quant Researcher: Live Alpha & ML Signals employer: Qenexus
Contact Detail:
Qenexus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land HFT Futures Quant Researcher: Live Alpha & ML Signals
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A personal connection can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving alpha signal generation or systematic trading strategies. This will give you an edge over other candidates.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills in Python and C++. Practice common algorithm questions and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can sometimes speed up the process.
We think you need these skills to ace HFT Futures Quant Researcher: Live Alpha & ML Signals
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your coding skills in Python and/or C++. We want to see how you've used these skills in your previous roles, especially in generating and testing alpha signals.
Quantitative Experience Matters: Don’t forget to mention your experience in quantitative roles. We’re looking for at least 3 years, so share specific examples of your strategy development and any successful projects you've worked on.
Tailor Your Application: Take a moment to customise your application for this role. Mention how your background aligns with our newly formed futures trading team and the collaborative environment we foster.
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 our team!
How to prepare for a job interview at Qenexus
✨Know Your Quant Basics
Brush up on your quantitative finance fundamentals. Be prepared to discuss concepts like alpha signals, systematic trading strategies, and any relevant models you've worked with. This shows you’re not just a coder but also understand the financial implications of your work.
✨Showcase Your Coding Skills
Since strong coding skills in Python and/or C++ are crucial, be ready to demonstrate your proficiency. You might be asked to solve a coding problem on the spot, so practice common algorithms and data structures beforehand. Make sure you can explain your thought process clearly.
✨Prepare for Collaboration Questions
This role involves working with a high-calibre team, so expect questions about teamwork and collaboration. Think of examples where you’ve successfully worked in a team setting, especially in high-pressure situations. Highlight how you contributed to the team's success.
✨Discuss Your Strategy Development Experience
Be ready to talk about your past experiences in strategy development. Prepare specific examples of strategies you’ve built, tested, and the outcomes. This will help demonstrate your hands-on experience and ability to generate actionable insights.