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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 cutting-edge Electronic Execution team.
- Benefits: Enjoy competitive pay, mentorship opportunities, and a collaborative global environment.
- Why this job: Shape the future of trading while working with innovative 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, eager to make an 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.
- 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).
Snr. Quant Cash Equities Execution employer: Bruin
Contact Detail:
Bruin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snr. Quant Cash Equities Execution
✨Tip Number 1
Network with professionals in the finance and quantitative research sectors. Attend industry conferences, webinars, or local meetups to connect with individuals who work in electronic execution or cash equities. This can help you gain insights into the role and potentially lead to referrals.
✨Tip Number 2
Familiarise yourself with the latest trends and technologies in electronic trading. Stay updated on advancements in algorithmic trading and quantitative finance by reading relevant publications, blogs, and research papers. This knowledge will not only enhance your understanding but also demonstrate your passion for the field during interviews.
✨Tip Number 3
Showcase your coding skills through personal projects or contributions to open-source initiatives. Develop algorithms or tools that relate to cash equities trading, and be prepared to discuss these projects in detail during interviews. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and coding challenges related to quantitative finance. Focus on questions that involve C++, R, and Python, as well as numerical techniques and machine learning concepts. This preparation will help you feel more confident and capable during the interview process.
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 similar initiatives in the past and how you can contribute to the company's goals.
Showcase Technical Skills: Include a section in your application that details your technical skills, particularly in coding and algorithm development. Provide examples of projects where you've developed or enhanced trading algorithms, and mention any experience with machine learning techniques.
Highlight Leadership Experience: Since the role involves mentoring junior team members and providing technical leadership, be sure to highlight any previous leadership roles or experiences. Discuss how you've guided teams through complex issues and contributed to their professional development.
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 Cash Equities and Market Microstructure
Make sure you have a solid grasp of Cash Equities trading products and market microstructure. Be ready to discuss how these concepts influence electronic execution and how you can contribute to enhancing trading strategies.
✨Demonstrate Leadership and Collaboration
Since the role involves leading projects and mentoring junior team members, prepare to share examples of how you've successfully led teams or collaborated on complex projects in the past. Highlight your ability to foster teamwork across global teams.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your analytical skills and problem-solving abilities. Practice explaining your approach to tackling complex issues, especially those related to algorithm development and enhancements.
