At a Glance
- 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 Slough employer: EC1 Partners
Join a forward-thinking firm that values innovation and collaboration, where your expertise as a Quantitative Researcher will directly influence the development of cutting-edge trading strategies. With a strong emphasis on employee growth, you will have the opportunity to mentor junior team members while working in a dynamic environment that encourages creativity and rigorous research. Located in a vibrant financial hub, our company offers competitive benefits and a supportive culture that prioritises work-life balance and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher (Mid-Frequency Systematic Equities) in Slough
✨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 important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to mid-frequency systematic equities. This will give potential employers a taste of what you can bring to the table.
✨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 impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. 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 Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of a Quantitative Researcher. Highlight your experience with mid-frequency systematic equities trading strategies and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Skills:Don’t just list your programming expertise in Python; give us examples of how you've used it in real-world scenarios. Mention specific libraries like NumPy or pandas that you’ve worked with, and how they contributed to your research efforts.
Be Clear and Concise:When writing your application, keep it clear and concise. We appreciate straightforward communication, so avoid jargon unless it's necessary. Make sure we can easily see your qualifications and how they fit the role.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at EC1 Partners
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative finance concepts and statistical analysis. Be ready to discuss how you've applied these in real-world scenarios, especially in mid-frequency systematic equities trading. This will show that you not only understand the theory but can also put it into practice.
✨Show Off Your Coding Skills
Since strong programming expertise in Python is a must, prepare to demonstrate your coding skills. Bring examples of your work with libraries like NumPy and pandas, and be ready to tackle some coding challenges during the interview. This will highlight your technical abilities and problem-solving skills.
✨Talk Teamwork and Leadership
This role involves mentoring and developing junior team members, so be prepared to share your experiences in leadership and collaboration. Discuss how you've contributed to a team's success and fostered a positive research culture. This will show that you're not just a lone wolf but a team player.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical skills and your approach to solving technical challenges. Think of specific examples where you've tackled issues in data cleaning or model performance. This will demonstrate your proactive mindset and attention to detail, which are crucial for this role.
