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- Tasks: Enhance automated trading systems and manage large datasets in a fast-paced environment.
- Company: Leading global investment management firm based in Greater London.
- Benefits: Competitive salary, career growth opportunities, and dynamic work culture.
- Why this job: Join a world-class team and make an impact in the finance industry.
- Qualifications: Strong analytical skills and experience with quantitative analysis.
- Other info: Collaborate with top researchers and traders for innovative solutions.
The predicted salary is between 43200 - 72000 £ per year.
A leading global investment management firm is seeking a Quantitative Analyst to enhance its automated trading infrastructure, support trading desks, and manage large datasets. The ideal candidate will work closely with quantitative researchers and traders in a dynamic environment, focusing on optimizing codebase and ensuring data integrity. Opportunities for career growth exist within this world-class organization located in Greater London.
Quantitative Trading Engineer in London employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Trading Engineer in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the quantitative trading 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 related to automated trading and data management. This gives us a chance to see your practical experience and problem-solving abilities in action.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of algorithms. We recommend practicing with real-world problems that you might encounter in a trading environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Quantitative Trading Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Quantitative Trading Engineer role. We want to see how your background fits into our dynamic environment, so don’t hold back on showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative trading and how you can contribute to our automated trading infrastructure. Let us know what excites you about working with us!
Showcase Your Technical Skills: Since this role involves optimising codebases and managing large datasets, be sure to highlight your technical skills in programming languages and data management tools. We love seeing candidates who can demonstrate their expertise in these areas!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Don’t miss out on this opportunity!
How to prepare for a job interview at Anson McCade
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss relevant mathematical concepts. Make sure you can explain how you've applied these in past projects, especially in relation to trading algorithms or data analysis.
✨Understand the Trading Landscape
Familiarise yourself with current trends in quantitative trading and the specific strategies used by the firm. This will not only show your interest but also help you engage in meaningful discussions during the interview.
✨Showcase Your Coding Skills
Be prepared to demonstrate your coding abilities, particularly in languages like Python or R. You might be asked to solve a problem on the spot, so practice coding challenges that relate to data manipulation and algorithm optimisation.
✨Ask Insightful Questions
Prepare thoughtful questions about the firm's trading infrastructure and how they manage large datasets. This shows your enthusiasm for the role and helps you gauge if the company is the right fit for you.
