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- Tasks: Join a trading team to enhance strategies and develop Python tools for impactful trading solutions.
- Company: Be part of a leading firm in the algorithmic trading space, driving innovation and performance.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration.
- Why this job: Work with cutting-edge technology and quantitative research to make a real impact in trading.
- Qualifications: Bachelor's in Computer Science or related field; 5+ years Python experience; strong analytical skills.
- Other info: Reach out to Tom at tom@qenexus.com for more info!
The predicted salary is between 48000 - 72000 £ 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
Quantitative Developer - Trading Pod employer: Qenexus
Contact Detail:
Qenexus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Trading Pod
✨Tip Number 1
Make sure to showcase your experience with Python and C++ in your discussions. Highlight specific projects where you've developed execution algorithms or optimized 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 talk about your experience with quantitative research and how you've collaborated with researchers in the past. Emphasizing teamwork and communication skills will show that you can thrive in a distributed environment.
✨Tip Number 4
Stay updated on the latest trends in algorithmic trading and be ready to share your insights during conversations. This will not only demonstrate your passion for the field but also your commitment to continuous learning and improvement.
We think you need these skills to ace 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.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with execution algorithms and market microstructure. Provide specific examples of projects where you utilized Python libraries like Numpy, Pandas, and Polars.
Showcase Problem-Solving Skills: Quantitative roles require strong analytical skills. Include examples in your application that demonstrate your problem-solving abilities, particularly in a trading or algorithmic context.
Tailor Your Application: Customize your CV and cover letter to reflect the language and requirements mentioned in the job description. This shows that you are genuinely interested in the role and understand what the company is looking for.
How to prepare for a job interview at Qenexus
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and C++. Highlight specific projects where you've implemented execution algorithms or optimized trading strategies. Familiarize yourself with libraries like Numpy, Pandas, and Polars, as they are crucial for this role.
✨Understand Market Microstructure
Demonstrate your knowledge of market microstructure across various asset classes. Be ready to discuss how this understanding has influenced your previous work and how it can enhance trading strategies.
✨Collaborative Mindset
Since the role involves close collaboration with quantitative researchers, emphasize your teamwork skills. Share examples of how you've successfully worked in distributed teams and contributed to collective goals.
✨Problem-Solving Approach
Prepare to discuss your analytical and problem-solving skills. Think of specific challenges you've faced in your previous roles and how you approached them, especially in the context of trading strategy research and optimization.
