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- Tasks: Collaborate with traders to create innovative trading strategies using machine learning.
- Company: Leading trading firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, professional growth, and engaging challenges.
- Why this job: Dive into market prediction and alpha generation while working with cutting-edge technology.
- Qualifications: Strong analytical skills and experience with financial data and programming libraries.
- Other info: Exciting opportunities for career advancement in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading trading firm in Greater London is seeking a Quantitative Researcher to join their team. The role involves collaborating with traders and developers to devise systematic trading strategies using advanced statistical and machine learning techniques.
Candidates should possess a strong analytical background, experience with financial data, and proficiency in relevant programming libraries.
This opportunity promises engagement with novel challenges in market behavior prediction and alpha generation, offering substantial professional growth.
Quantitative Researcher - Alpha Signals & ML for Markets in London employer: Aargo Trade
Contact Detail:
Aargo Trade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher - Alpha Signals & ML for Markets in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the firm on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous work with financial data and machine learning projects. This will help us stand out during interviews and demonstrate our analytical prowess.
✨Tip Number 3
Practice makes perfect! Brush up on your coding skills and statistical techniques relevant to the role. We can use platforms like LeetCode or Kaggle to sharpen our abilities before the big day.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight how our skills align with their needs.
We think you need these skills to ace Quantitative Researcher - Alpha Signals & ML for Markets in London
Some tips for your application 🫡
Show Off Your Analytical Skills: Make sure to highlight your analytical background in your application. We want to see how you've tackled complex problems before, especially with financial data. Use specific examples to demonstrate your experience with statistical and machine learning techniques.
Tailor Your Application: Don’t just send a generic CV and cover letter! We love it when candidates tailor their applications to the role. Mention how your skills align with the job description, particularly in relation to systematic trading strategies and programming libraries.
Be Clear and Concise: When writing your application, clarity is key. We appreciate well-structured documents that get straight to the point. Avoid jargon unless it's relevant, and make sure your passion for quantitative research shines through!
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 us you’re genuinely interested in joining our team!
How to prepare for a job interview at Aargo Trade
✨Know Your Stats
Brush up on your statistical knowledge and be ready to discuss how you’ve applied advanced statistical techniques in past projects. Be prepared to explain concepts like regression analysis or time series forecasting, as these are likely to come up in discussions about systematic trading strategies.
✨Showcase Your Coding Skills
Familiarise yourself with the programming libraries relevant to the role, such as Python's Pandas, NumPy, or scikit-learn. During the interview, be ready to demonstrate your coding skills, perhaps through a live coding exercise or by discussing previous projects where you implemented machine learning algorithms.
✨Understand Market Dynamics
Research current market trends and be prepared to discuss how they might influence trading strategies. Showing that you can connect your analytical skills with real-world market behaviour will impress the interviewers and demonstrate your passion for the field.
✨Collaborative Mindset
Since the role involves working closely with traders and developers, highlight your teamwork experiences. Share examples of how you’ve successfully collaborated on projects, especially those that required cross-functional communication and problem-solving.
