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- Tasks: Collaborate on trading strategies, develop Python tools, and enhance research frameworks.
- Company: Join a top-tier trading group with over 6 years of success in London.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration.
- Why this job: Be part of a high-performing team making impactful decisions in finance.
- Qualifications: Bachelor's in Computer Science or related field; strong Python skills required.
- Other info: Contact Tom for more details via email or WhatsApp.
The predicted salary is between 54000 - 84000 £ per year.
Our client, a best-in-class trading group who have been in operation for 6+ years, are expanding their headcount in their London office due to outstanding YTD performance and a significant increase in AUM.
Responsibilities:
- Collaborate with on-site researchers to improve quantitative trading strategies and profits.
- Develop Python tools for trading strategy research.
- Enhance the simulation/backtest framework.
- Monitor and maintain quantitative research tasks.
- Support the global research team with EMEA-related projects.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred).
- Strong Python skills, especially with libraries like Numpy, Pandas, and Polars.
- At least 5 years of Python development experience.
- Excellent problem-solving skills and ability to work well in a fast-paced, collaborative environment.
- Strong communication and teamwork skills.
Senior Quantitative Researcher employer: Qenexus
Contact Detail:
Qenexus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Researcher
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative trading and research. This will not only help you understand the industry better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Brush up on your Python skills, particularly with libraries like Numpy, Pandas, and Polars. Consider working on personal projects or contributing to open-source projects that demonstrate your proficiency and ability to develop tools relevant to trading strategies.
✨Tip Number 3
Network with professionals in the quantitative research field. Attend industry meetups or webinars, and connect with people on platforms like LinkedIn. This can lead to valuable insights and potentially even referrals for the position you're interested in.
✨Tip Number 4
Prepare to discuss your problem-solving approach in detail. Think of specific examples from your past experiences where you've tackled complex issues, as this will demonstrate your analytical skills and ability to thrive in a fast-paced environment.
We think you need these skills to ace Senior Quantitative Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in quantitative research and Python development. Emphasise your skills with libraries like Numpy, Pandas, and Polars, and include specific examples of projects you've worked on.
Craft a Strong Cover Letter: Write a cover letter that showcases your problem-solving abilities and teamwork skills. Mention your experience in fast-paced environments and how you can contribute to the trading group's success.
Showcase Relevant Projects: If you have developed any Python tools or frameworks for trading strategies, be sure to include these in your application. Provide links to your GitHub or any other portfolio where potential employers can see your work.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or typos. A polished application reflects your attention to detail and professionalism, which is crucial for a role in quantitative research.
How to prepare for a job interview at Qenexus
✨Showcase Your Python Skills
Make sure to highlight your experience with Python, especially with libraries like Numpy, Pandas, and Polars. Be prepared to discuss specific projects where you've used these tools to develop trading strategies or enhance frameworks.
✨Demonstrate Problem-Solving Abilities
Prepare examples of complex problems you've solved in previous roles. This could involve discussing how you approached a challenging quantitative research task or improved a trading strategy through innovative thinking.
✨Emphasise Team Collaboration
Since the role involves working closely with on-site researchers and global teams, be ready to share experiences that showcase your teamwork skills. Discuss how you've successfully collaborated on projects and contributed to a positive team environment.
✨Research the Company and Its Performance
Familiarise yourself with the trading group's recent achievements and their approach to quantitative research. Showing that you understand their business model and performance can demonstrate your genuine interest in the role and the company.
