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- Tasks: Develop and manage systematic trading strategies while optimizing performance and managing risks.
- Company: Join a global leader in quantitative investment management focused on innovative trading solutions.
- Benefits: Enjoy a dynamic work environment with opportunities for collaboration and professional growth.
- Why this job: Be at the forefront of trading technology and data analysis, making a real impact in finance.
- Qualifications: Advanced degree in a quantitative field and 5+ years of relevant experience required.
- Other info: Reach out to Tom for more details via email or WhatsApp.
The predicted salary is between 43200 - 72000 £ per year.
Our client, a global quantitative investment manager is seeking a professional to develop and build high-quality systematic trading strategies. This role focuses on leveraging data, technology, and trading expertise to optimize performance and manage risks effectively.
Responsibilities of the Role:
- Develop and manage systematic trading strategies from risk calibration to execution.
- Monitor trading activity, strategy performance, and risk metrics.
- Integrate signals and datasets into a global execution platform.
- Collaborate with traders, researchers, and technologists to refine strategies and processes.
- Analyse signal behaviour and execution performance over time.
Requirements of the Role:
- Advanced degree in a quantitative field (e.g., data science, statistics, mathematics, physics, engineering).
- At least 5+ years of relevant experience.
- Proficiency in a programming language (e.g., Python, R, Matlab, C++, C#).
- Expertise in statistics, machine learning, or AI techniques is a plus.
- Strong analytical skills and experience working with large datasets.
- Proven ability to deliver systematic trading strategies and communicate across technical and trading teams.
For more information, please reach out to our Director, Tom, on or via Whatsapp on +353 87 695 8046.
Quantitative Trader | Execution employer: Qenexus
Contact Detail:
Qenexus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Trader | Execution
✨Tip Number 1
Make sure to showcase your experience with systematic trading strategies in your conversations. Highlight specific projects where you've developed or managed these strategies, as this will resonate well with the hiring team.
✨Tip Number 2
Brush up on your programming skills, especially in Python or R. Being able to discuss your proficiency and how you've used these languages in past roles can set you apart from other candidates.
✨Tip Number 3
Familiarize yourself with the latest trends in machine learning and AI techniques as they relate to trading. Being able to discuss how these technologies can optimize trading strategies will demonstrate your forward-thinking approach.
✨Tip Number 4
Network with professionals in the quantitative trading space. Engaging with traders, researchers, and technologists can provide insights into the role and help you understand what the team values most in a candidate.
We think you need these skills to ace Quantitative Trader | Execution
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your 5+ years of relevant experience in quantitative trading. Detail specific projects or strategies you have developed, focusing on your role in risk calibration and execution.
Showcase Technical Skills: Clearly list your proficiency in programming languages such as Python, R, Matlab, C++, or C#. Include examples of how you've used these skills to analyze large datasets or develop systematic trading strategies.
Demonstrate Analytical Abilities: Provide examples that showcase your strong analytical skills. Discuss any experience you have with statistics, machine learning, or AI techniques, and how they have contributed to your success in trading.
Tailor Your Application: Customize your CV and cover letter to align with the job description. Use keywords from the posting, such as 'systematic trading strategies' and 'risk metrics', to ensure your application stands out to recruiters.
How to prepare for a job interview at Qenexus
✨Showcase Your Quantitative Skills
Make sure to highlight your advanced degree and relevant experience in quantitative fields. Be prepared to discuss specific projects or strategies you've developed, focusing on how you applied your analytical skills to solve complex problems.
✨Demonstrate Programming Proficiency
Since proficiency in programming languages like Python, R, or C++ is crucial, be ready to discuss your coding experience. You might even want to prepare a small coding example or explain a project where you utilized these skills effectively.
✨Discuss Risk Management Strategies
Given the role's focus on risk calibration and management, be prepared to talk about your approach to risk assessment. Share examples of how you've monitored trading activities and adjusted strategies based on performance metrics.
✨Collaborate and Communicate
This position requires collaboration with various teams. Prepare to discuss how you've worked with traders, researchers, and technologists in the past. Highlight your ability to communicate complex ideas clearly to both technical and non-technical stakeholders.
