At a Glance
- Tasks: Build predictive models and develop trading strategies using complex datasets.
- Company: Join a forward-thinking team focused on systematic trading and data insights.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Ideal for self-starters eager to drive innovation in trading strategies.
- Why this job: Make a real impact in trading performance with your analytical skills.
- Qualifications: BSc, MSc, or PhD in a quantitative field; strong Python or C++ skills required.
The predicted salary is between 60000 - 80000 £ per year.
Our client is seeking a seasoned Systematic Futures Researcher with expertise in alternative data to join their collaborative team.
Responsibilities of the Role:
- Build predictive models with large, complex datasets.
- Design, develop, and refine systematic trading strategies to optimise market reactions, order placement, and execution in order to maximise trading performance.
- Utilise modelling, machine learning, and statistical techniques to extract insights from data and translate them into trading edge.
Requirements of the Role:
- BSc, MSc, or PhD in a quantitative or technical discipline (Mathematics, Physics, Computer Science, Engineering or similar).
- Strong analytical and mathematical skills with a demonstrable track record of applying them to real trading problems.
- Proficient in Python, C++, or equivalent.
- A collaborative team player with experience working across research and development functions.
- A self-starter who identifies opportunities and takes initiative to drive impact.
Senior Quantitative Researcher in London employer: Qenexus
As a leading global quantitative trading firm, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel. With access to cutting-edge technology and significant resources, our Derivatives Traders and Quantitative Researchers are positioned at the forefront of the industry, benefiting from collaborative teamwork and ample opportunities for professional growth. Join us in a stimulating environment where your contributions directly shape the future of trading systems and execution models.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quantitative Researcher in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and trading strategies. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, C++, and any machine learning techniques you've used in real-world scenarios.
✨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 that extra step!
We think you need these skills to ace Senior Quantitative Researcher in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with predictive models and alternative data. We want to see how your skills in Python or C++ have been applied to real trading problems, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the role. Share specific examples of your collaborative work and how you've driven impact in previous positions.
Showcase Your Analytical Skills:In your application, emphasise your strong analytical and mathematical skills. We love seeing how you’ve used these skills to solve complex problems, especially in trading contexts. Be specific!
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 Data Inside Out
Make sure you’re well-versed in the datasets you’ve worked with. Be ready to discuss specific examples of how you’ve built predictive models and the impact they had on trading performance. This shows your practical experience and analytical skills.
✨Showcase Your Technical Skills
Brush up on your Python and C++ skills before the interview. Be prepared to talk about projects where you used these languages, especially in relation to machine learning or statistical techniques. Demonstrating your technical prowess can set you apart from other candidates.
✨Collaborative Spirit is Key
Since the role requires teamwork, think of examples where you’ve successfully collaborated with others in research and development. Highlight how you contributed to a team project and what the outcome was. This will show that you’re not just a lone wolf but a team player.
✨Be a Self-Starter
Prepare to discuss instances where you identified opportunities and took the initiative. Whether it’s a new trading strategy you proposed or a problem you solved, showcasing your proactive nature will resonate well with the interviewers.
