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- Tasks: Join a trading team to enhance strategies and develop Python tools.
- Company: Be part of a leading firm in algorithmic trading, driving impactful solutions.
- Benefits: Work in a dynamic environment with cutting-edge technology and collaborative culture.
- Why this job: Great opportunity to apply your skills in a fast-paced, innovative setting.
- Qualifications: Bachelor's in Computer Science or related field; 5+ years Python experience required.
- Other info: Reach out to Tom at tom@qenexus.com for more info.
The predicted salary is between 48000 - 84000 £ per year.
We are seeking a talented Quantitative Developer to join a leading trading team in the algorithmic trading space. This role offers the opportunity to work in a dynamic environment that combines cutting-edge technology with quantitative research to deliver impactful trading solutions.
Responsibilities:
- Collaborate closely with quantitative researchers to iterate on research processes and enhance trading strategies\’ P&L.
- Design, implement, and optimize Python tools for trading strategy research.
- Improve and maintain the existing simulation/backtest framework.
Key Requirements:
- Bachelor\’s degree in Computer Science, Engineering, or a related field (Master\’s degree preferred).
- Strong experience developing and implementing execution algorithms.
- In-depth understanding of market microstructure across multiple asset classes.
- Minimum of 5 years of Python development experience, including expertise in libraries like Numpy, Pandas, and Polars.
- Proficiency in C++ development.
- Strong analytical and problem-solving skills.
- Excellent communication skills and the ability to collaborate effectively in a distributed environment.
For more info, please apply or reach out to Tom on tom@qenexus.com
Qenexus | Quantitative Developer - Trading Pod employer: Qenexus
Contact Detail:
Qenexus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Qenexus | Quantitative Developer - Trading Pod
✨Tip Number 1
Make sure to showcase your experience with Python and C++ prominently. Highlight specific projects where you've developed execution algorithms or worked on trading strategies, as this will resonate well with the team.
✨Tip Number 2
Familiarize yourself with market microstructure concepts and be ready to discuss how they apply to different asset classes. This knowledge will demonstrate your understanding of the trading environment and your ability to contribute effectively.
✨Tip Number 3
Prepare to discuss your collaborative experiences, especially in distributed teams. Share examples of how you’ve successfully communicated and worked with quantitative researchers to enhance trading strategies.
✨Tip Number 4
Stay updated on the latest trends in algorithmic trading and quantitative research. Being able to discuss recent developments or technologies can set you apart and show your passion for the field.
We think you need these skills to ace Qenexus | Quantitative Developer - Trading Pod
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Quantitative Developer position. Understand the key responsibilities and requirements, especially the importance of Python and C++ development experience.
Tailor Your CV: Customize your CV to highlight relevant experience in algorithmic trading, Python development, and any work with market microstructure. Use specific examples that demonstrate your skills and achievements in these areas.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for quantitative research and trading. Mention how your background aligns with the company's goals and how you can contribute to their trading strategies.
Highlight Collaboration Skills: Since the role involves working closely with quantitative researchers, emphasize your communication and teamwork skills. Provide examples of past collaborations that led to successful outcomes.
How to prepare for a job interview at Qenexus
✨Showcase Your Python Expertise
Be prepared to discuss your experience with Python, especially with libraries like Numpy, Pandas, and Polars. You might be asked to solve coding problems or explain how you've used these tools in past projects.
✨Understand Market Microstructure
Brush up on your knowledge of market microstructure across different asset classes. Be ready to discuss how this understanding can influence trading strategies and execution algorithms.
✨Demonstrate Problem-Solving Skills
Expect to face analytical challenges during the interview. Practice explaining your thought process clearly and logically when tackling complex problems, as this will showcase your strong analytical skills.
✨Communicate Effectively
Since collaboration is key in this role, practice articulating your ideas and experiences clearly. Be prepared to discuss how you’ve successfully worked in distributed teams and how you handle communication in such environments.
