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- Tasks: Lead the research and development of a mid-frequency systematic equities trading system.
- Company: Join a forward-thinking firm focused on innovative trading strategies.
- Benefits: Competitive salary, mentorship opportunities, and a collaborative work environment.
- Other info: Opportunity to mentor junior researchers and drive impactful projects.
- Why this job: Shape the future of trading with cutting-edge quantitative research and technology.
- Qualifications: Experience in quantitative finance, strong Python skills, and a Master's or PhD.
The predicted salary is between 60000 - 80000 £ per year.
My client is seeking an experienced quantitative researcher to join a new team focused on building a mid-frequency systematic equities trading system. The successful candidate will work closely with the Senior Portfolio Manager to design and develop the strategy from the ground up, taking a leading role in the research effort and the overall investment process. This is a senior, leadership-oriented position that includes responsibility for shaping the research agenda and supporting the growth of the team.
Core responsibilities:
- Research, build and maintain all aspects of the trading system, including alpha research, signal construction and combination, portfolio construction, and trade optimisation.
- Build and maintain the quantitative research ecosystem, including data pipelines, backtesting frameworks, and tools for evaluating model performance.
- Implement robust logging, monitoring, and diagnostic processes for the trading system, and drive timely investigation and remediation of issues.
- Generate, test, and prioritise new research ideas to improve model performance and robustness over time.
- Contribute to the recruitment, mentoring, and development of junior team members, fostering a rigorous and collaborative research culture.
Preferred Skills and Experience:
- Multiple years of experience working collaboratively on mid-frequency systematic equities trading strategies.
- Solid understanding of quantitative finance concepts, statistical analysis, and, ideally, practical applications of machine learning.
- Strong programming expertise in Python and related libraries (e.g. NumPy, pandas, Polars, etc.).
- Experience working with large, noisy datasets, including data cleaning, feature engineering, and validation.
- Masters or PhD in a quantitative subject.
- Creativity and out of the box thinking.
- Excellent analytical skills and a rigorous, detail-oriented approach to empirical research.
- Strong organizational skills with the ability to manage multiple projects concurrently.
- High attention to detail and commitment to code quality.
- Effective communication and collaboration skills; ability to work well within a team environment.
- Self-starter with a proactive approach to solving technical and operational challenges.
Quantitative Researcher (Mid-Frequency Systematic Equities) in City of London employer: EC1 Partners
Contact Detail:
EC1 Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher (Mid-Frequency Systematic Equities) in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the quantitative finance space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and quantitative research. This is your chance to demonstrate your expertise and creativity, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practising common quantitative finance questions and coding challenges to ensure you’re ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Quantitative Researcher (Mid-Frequency Systematic Equities) in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with mid-frequency systematic equities trading strategies. We want to see how your background aligns with the role, so don’t hold back on showcasing your quantitative finance knowledge and programming expertise in Python!
Tailor Your Application: Customise your CV and cover letter to reflect the specific responsibilities mentioned in the job description. We love it when candidates take the time to connect their experiences to what we’re looking for, especially around research and team collaboration.
Be Creative: Don’t shy away from showing your creative side! We’re looking for out-of-the-box thinkers, so if you have unique ideas or approaches to quantitative research, make sure to include them in your application. It could set you apart from the rest!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at EC1 Partners
✨Know Your Quantitative Finance Inside Out
Make sure you brush up on your quantitative finance concepts and statistical analysis. Be ready to discuss how you've applied these in past roles, especially in mid-frequency systematic equities trading strategies. This will show that you not only understand the theory but can also implement it practically.
✨Showcase Your Programming Skills
Since strong programming expertise in Python is a must, prepare to demonstrate your skills. Bring examples of your work with libraries like NumPy and pandas. You might even be asked to solve a coding problem during the interview, so practice coding challenges beforehand!
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to tackle technical and operational challenges. Think of specific instances where you identified issues in a trading system and how you resolved them. This will highlight your proactive approach and analytical skills.
✨Emphasise Team Collaboration and Mentorship
As this role involves mentoring junior team members, be prepared to discuss your experience in fostering a collaborative research culture. Share examples of how you've contributed to team growth and development, as well as how you communicate effectively within a team.