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- Tasks: Maintain and upgrade automated trading frameworks while managing large datasets.
- Company: Global investment management firm based in the UK with a dynamic work culture.
- Benefits: Full-time position with opportunities for research collaboration and career growth.
- Why this job: Join a leading firm and make an impact in the world of finance and technology.
- Qualifications: Degree in Engineering or Computer Science and programming skills in C++, Java, or Python.
- Other info: Strong communication skills are essential for this collaborative role.
The predicted salary is between 28800 - 48000 £ per year.
A global investment management firm based in the United Kingdom is looking to hire an Entry Level Desk Quant Analyst. In this role, you will maintain and upgrade the firm's automated trading frameworks, manage large datasets, and monitor trading activities.
Ideal candidates should hold a degree in Engineering or Computer Science, possess programming proficiency in languages like C++, Java, or Python, and have strong communication skills.
This is a full-time position with opportunities for research collaboration across multiple regions.
Entry-Level Desk Quant Analyst in London employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Entry-Level Desk Quant Analyst in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the investment management field on LinkedIn. A friendly message can go a long way, and you never know who might have a lead on that perfect Entry-Level Desk Quant Analyst role.
✨Tip Number 2
Brush up on your coding skills! Make sure you're comfortable with C++, Java, or Python. Consider working on a small project or contributing to open-source to showcase your programming prowess when you land that interview.
✨Tip Number 3
Prepare for those technical interviews! Practice common quant analyst questions and be ready to discuss your approach to managing large datasets. We recommend using mock interviews to build confidence and refine your answers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Don’t hesitate to follow up after applying to show your enthusiasm!
We think you need these skills to ace Entry-Level Desk Quant Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your degree in Engineering or Computer Science and any relevant programming skills. We want to see how your background fits with the role, so don’t be shy about showcasing your experience with C++, Java, or Python!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Entry-Level Desk Quant Analyst position and how your skills can contribute to our automated trading frameworks. Keep it concise but impactful!
Show Off Your Communication Skills: Strong communication is key for this role, so make sure to demonstrate your ability to convey complex ideas clearly in your application. Whether it’s through your CV or cover letter, we want to see that you can articulate your thoughts effectively.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Anson McCade
✨Know Your Tech
Brush up on your programming skills, especially in C++, Java, and Python. Be ready to discuss specific projects or challenges you've tackled using these languages, as this will show your practical experience and problem-solving abilities.
✨Understand the Trading Framework
Familiarise yourself with automated trading frameworks and how they operate. Research the firm’s approach to trading and be prepared to discuss how you can contribute to maintaining and upgrading these systems.
✨Data Management is Key
Since managing large datasets is part of the role, think about your experience with data handling. Prepare examples of how you've worked with data in the past, including any tools or methodologies you used to ensure accuracy and efficiency.
✨Communicate Clearly
Strong communication skills are essential. Practice explaining complex technical concepts in simple terms, as you may need to collaborate with non-technical team members. This will demonstrate your ability to bridge the gap between tech and business.
