At a Glance
- Tasks: Lead research efforts and develop mid-frequency trading systems in a dynamic team.
- Company: Join EC1 Partners, a forward-thinking firm in quantitative finance.
- Benefits: Competitive salary, mentorship opportunities, and a collaborative work environment.
- Other info: Opportunity to mentor junior members and grow your career in a cutting-edge field.
- Why this job: Shape the future of trading strategies and make a real impact in finance.
- Qualifications: Strong background in quantitative finance and programming skills in Python.
The predicted salary is between 80000 - 100000 € per year.
EC1 Partners is looking for an experienced quantitative researcher to join their new team focused on developing a mid-frequency systematic equities trading system. The successful candidate will collaborate with a Senior Portfolio Manager to shape the research agenda and lead the research efforts.
Key responsibilities include:
- Building and maintaining trading systems
- Implementing robust monitoring processes
- Mentoring junior team members
Ideal candidates will have a strong background in quantitative finance, programming skills in Python, and several years of experience in equities trading strategies.
Lead Quant Researcher, Mid-Frequency Systematic Equities in London employer: EC1 Partners
EC1 Partners is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. With a strong focus on employee growth, you will have the opportunity to lead cutting-edge research in mid-frequency systematic equities while mentoring junior talent. Located in a vibrant area, the company promotes a culture of continuous learning and provides competitive benefits that support both professional and personal development.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Quant 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. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your programming projects in Python, especially those related to trading systems. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of mid-frequency trading strategies. Be ready to discuss your past experiences and how they relate to the role. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it makes it easier for us to keep track of your application.
We think you need these skills to ace Lead Quant Researcher, Mid-Frequency Systematic Equities in London
Some tips for your application 🫡
Show Off Your Quant Skills:Make sure to highlight your quantitative finance background in your application. We want to see how your experience aligns with the role, especially in developing trading systems and strategies.
Python Proficiency is Key:Since programming skills in Python are a must-have, don’t forget to mention any relevant projects or experiences where you’ve used Python. We love seeing practical examples of your coding prowess!
Collaboration is Crucial:As you'll be working closely with a Senior Portfolio Manager, emphasise your teamwork and mentoring experiences. We’re looking for someone who can lead and inspire junior team members while driving research efforts.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at EC1 Partners
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative finance knowledge. Be ready to discuss your previous research projects and how they relate to mid-frequency systematic equities. Prepare to explain your thought process and the methodologies you used in your past work.
✨Show Off Your Python Skills
Since programming in Python is a key requirement, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your experience with building trading systems. Practise coding challenges related to finance to get into the right mindset.
✨Collaborate Like a Pro
As you'll be working closely with a Senior Portfolio Manager, highlight your teamwork and collaboration skills. Think of examples where you've successfully worked in a team setting, especially in mentoring junior members or leading research efforts.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their trading strategies, the team dynamics, and the future direction of the research agenda. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
