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- Tasks: Develop and enhance trading strategies using machine learning and data analysis.
- Company: Global trading firm with a dynamic and collaborative culture.
- Benefits: Full-time position in Greater London with competitive salary and growth opportunities.
- Why this job: Join a cutting-edge team and make an impact in the fast-paced world of trading.
- Qualifications: 3+ years in Equities markets, strong Python skills, and expertise in machine learning.
- Other info: Exciting environment with opportunities for professional development and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
A global trading firm is seeking an experienced Quantitative Researcher to develop high to mid-frequency trading strategies. The ideal candidate will have at least 3 years of experience in Equities markets, strong programming skills in Python, and proficiency in machine learning and statistical analysis.
Responsibilities include conducting data analysis and collaborating with traders to enhance performance. This full-time position is based in Greater London and offers a dynamic and collaborative work environment.
Delta One Equities Quant Researcher - ML-Driven Trading in London employer: IMC
Contact Detail:
IMC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Delta One Equities Quant Researcher - ML-Driven Trading in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the equities and trading space on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving machine learning and statistical analysis. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your quantitative skills and market knowledge. Practice explaining your past projects and how they relate to high-frequency trading strategies.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Delta One Equities Quant Researcher - ML-Driven Trading in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and any experience you have with machine learning. We want to see how your expertise can contribute to our trading strategies!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect your experience in Equities markets and how it aligns with the role. We love seeing candidates who take the time to connect their background with what we do.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and potential fit for the team.
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 this exciting opportunity in our dynamic team!
How to prepare for a job interview at IMC
✨Know Your Quant Skills
Make sure you brush up on your quantitative analysis skills. Be ready to discuss your experience with machine learning and statistical methods, as well as how you've applied them in trading strategies. Prepare examples that showcase your problem-solving abilities in real-world scenarios.
✨Show Off Your Python Proficiency
Since strong programming skills in Python are a must, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot or explain your previous projects. Practise coding challenges related to data analysis and algorithm development to impress your interviewers.
✨Understand the Trading Landscape
Familiarise yourself with current trends in the equities market and recent developments in trading strategies. Being able to discuss these topics will show your passion for the field and your commitment to staying updated. It’s also a great way to engage with your interviewers and demonstrate your knowledge.
✨Collaborate and Communicate
Since the role involves collaborating with traders, highlight your teamwork and communication skills. Prepare to discuss how you've worked with others in the past to enhance performance. Think of specific instances where your collaboration led to successful outcomes, as this will resonate well with the interviewers.
