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- Tasks: Lead projects in electronic trading, develop algorithms, and enhance trading models.
- Company: Join a top-tier investment bank with a renowned Electronic Execution team.
- Benefits: Enjoy competitive pay, mentorship opportunities, and a collaborative global environment.
- Why this job: Shape the future of electronic trading while working with cutting-edge technology and talented professionals.
- Qualifications: Master's or PhD in a quantitative field; strong coding skills in C++, R, and Python required.
- Other info: Ideal for those passionate about finance and technology, looking to make a significant impact.
The predicted salary is between 43200 - 72000 £ per year.
My client, a T1 Investment bank with a renowned Electronic Execution team within the Cash Equities division, are looking for an experienced Quantitative Researcher to join them. In this role, you will play a critical part in shaping and advancing their electronic trading capabilities. You’ll collaborate with colleagues globally to share insights, improve platform interfaces, and ensure adherence to best practices. You’ll be responsible for leading key projects from start to finish, including designing and implementing new models and supporting the full platform lifecycle. You’ll also drive enhancements to our trading algorithms and deliver robust, high-quality solutions that keep us at the forefront of electronic execution.
Key Responsibilities:
- Drive and champion electronic execution initiatives within the Cash Equities team, fostering collaboration across global teams.
- Lead the development and deployment of new trading models and algorithmic solutions.
- Enhance and refine existing algorithms, adding new features and improving performance.
- Design and build analytic and implementation approaches, including system architecture and interfaces.
- Develop, test, and maintain high-quality C++, R, and Python code for new and existing tools.
- Create and support analytic tools for both team and business-wide use.
- Provide technical leadership and guidance, especially for complex issues requiring deep expertise and advanced analysis.
- Act as a mentor and escalation point for junior team members.
The ideal candidate will have:
- A Master’s level or above education in a quantitative discipline or a PhD in a scientific or engineering field with a strong interest in financial modelling.
- Deep understanding of Cash Equities trading products and market microstructure.
- Proven experience developing code in C++, R, and Python.
- Strong quantitative and analytical skills, with a background in numerical techniques and machine learning (both supervised and unsupervised).
Contact Detail:
Bruin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snr. Quant Cash Equities Execution
✨Tip Number 1
Familiarise yourself with the latest trends in electronic trading and algorithmic solutions. Understanding the current landscape will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the Cash Equities space, especially those involved in electronic execution. Attend industry events or webinars to connect with potential colleagues and gain insights that could be beneficial for your application.
✨Tip Number 3
Brush up on your coding skills in C++, R, and Python. Consider working on personal projects or contributing to open-source initiatives that showcase your ability to develop and maintain high-quality code relevant to trading algorithms.
✨Tip Number 4
Prepare to discuss your experience with quantitative research and financial modelling in detail. Be ready to share specific examples of how you've applied numerical techniques and machine learning in previous roles, as this will highlight your expertise.
We think you need these skills to ace Snr. Quant Cash Equities Execution
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative research, electronic trading, and programming languages like C++, R, and Python. Emphasise any projects or roles that demonstrate your ability to lead initiatives and collaborate with global teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for electronic execution and your understanding of Cash Equities trading products. Mention specific examples of how you've driven enhancements in trading algorithms or developed new models in previous roles.
Showcase Technical Skills: Include a section in your application that details your technical skills, particularly in coding and quantitative analysis. Highlight any experience with machine learning techniques and how you've applied them in financial contexts.
Prepare for Technical Questions: Anticipate technical questions related to your coding skills and quantitative methods during the interview process. Be ready to discuss your approach to problem-solving and provide examples of complex issues you've tackled in your previous roles.
How to prepare for a job interview at Bruin
✨Showcase Your Technical Skills
Be prepared to discuss your experience with C++, R, and Python in detail. Bring examples of projects where you've developed trading models or algorithms, and be ready to explain your thought process and the outcomes.
✨Understand Market Microstructure
Demonstrate a solid understanding of Cash Equities trading products and market microstructure. Be ready to discuss how these concepts influence electronic execution and your approach to developing trading strategies.
✨Highlight Collaboration Experience
Since this role involves working with global teams, share examples of how you've successfully collaborated on projects in the past. Emphasise your ability to communicate complex ideas clearly and work effectively in a team environment.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your analytical skills and problem-solving abilities. Practice explaining your approach to complex issues, especially those requiring deep expertise in quantitative analysis and machine learning.
