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For Companies At a Glance
- Tasks: Maintain and upgrade automated trading strategies while managing large datasets.
- Company: Global investment management firm with a focus on technology and data-driven strategies.
- Benefits: Competitive salary, global collaboration, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make an impact in the finance world.
- Qualifications: Degree in Engineering or Computer Science and programming skills in C++, Java, or Python.
- Other info: Dynamic work environment with strong emphasis on teamwork and communication.
The predicted salary is between 28800 - 48000 £ per year.
Our client is a leading global investment management firm, leveraging a broad range of systematic and quantitative strategies across global financial markets. Their goal is to deliver high-quality, uncorrelated returns to their clients. The firm is looking to hire Quantitative Analysts to support the trading desks.
Key Responsibilities
- Maintain, enhance, and optimize the codebase and configuration of strategies within the firm’s automated trading infrastructure.
- Collaborate closely with quantitative researchers and traders to support the evolving requirements of dynamic trading environments.
- Oversee the management and integrity of large datasets used in both research and live trading systems.
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Quantitative Analyst employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the industry, especially those who work at firms you're interested in. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Since this role involves programming and data analysis, practice coding challenges and be ready to discuss your past projects. We want to see your problem-solving skills in action!
✨Tip Number 3
Showcase your passion for quantitative analysis! During interviews, share your enthusiasm for data-driven decision-making and any relevant personal projects. This will help us see how you fit into our tech-savvy culture.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Quantitative Analyst. Highlight your programming skills, especially in languages like C++, Java, or Python, and any relevant projects or experiences that showcase your attention to detail and ability to work under pressure.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative analysis and how your background aligns with the firm's focus on systematic strategies. Don’t forget to mention your collaborative spirit and communication skills!
Showcase Your Technical Skills: Since this role is tech-heavy, be sure to include any relevant technical skills or projects in your application. If you've worked with large datasets or automated trading frameworks, make that clear! We love seeing practical examples of your expertise.
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’re excited to see what you bring to the table!
How to prepare for a job interview at Anson McCade
✨Know Your Code
Make sure you brush up on your programming skills, especially in languages like C++, Java, or Python. Be prepared to discuss your past projects and how you've used these languages to solve problems or improve processes.
✨Understand the Trading Framework
Familiarise yourself with automated trading frameworks and the basics of quantitative strategies. Knowing how these systems work will help you answer questions confidently and show that you're genuinely interested in the role.
✨Data is Key
Since you'll be managing large datasets, be ready to talk about your experience with data analysis and any tools you've used. Highlight your attention to detail and how it has helped you in previous roles or projects.
✨Communication is Crucial
This role requires collaboration with various teams, so practice articulating your thoughts clearly. Think of examples where you've successfully worked with others, especially in high-pressure situations, to demonstrate your strong communication skills.
