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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 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 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 practicing 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 London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in mid-frequency systematic equities trading. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative research and how your background makes you the perfect fit for our team. Let us know what excites you about building a trading system from the ground up.
Showcase Your Technical Skills: Since programming expertise in Python is key, make sure to highlight your experience with relevant libraries like NumPy and pandas. We love seeing examples of your work, so if you have any projects or code snippets, feel free to include them!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we can’t wait to hear from you!
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 prepared 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 crucial for this role, be ready to demonstrate your skills. Bring examples of your work with libraries like NumPy and pandas, and if possible, prepare a small coding challenge to showcase your ability to handle large datasets and perform data cleaning or feature engineering.
✨Prepare for Problem-Solving Scenarios
Expect questions that assess your problem-solving abilities, particularly around logging, monitoring, and diagnosing issues in trading systems. Think of specific instances where you identified and resolved technical challenges, and be ready to explain your thought process and the outcomes.
✨Emphasise Team Collaboration and Leadership
As this is a senior position, highlight your experience in mentoring and developing junior team members. Share examples of how you've fostered a collaborative research culture in previous roles, and be prepared to discuss your approach to shaping a research agenda and leading a team effectively.