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- Tasks: Join us as a Quantitative Analyst, maintaining and upgrading our automated trading strategies.
- Company: We're a dynamic trading firm focused on innovation and collaboration in the quant space.
- Benefits: Enjoy a competitive salary starting at £66K plus bonuses, with opportunities for growth.
- Why this job: Dive into a fast-paced environment, working closely with experts to shape trading strategies.
- Qualifications: Ideal for juniors eager to enter the quant field; no prior experience required.
- Other info: Perfect for high school and college students passionate about data and finance.
The predicted salary is between 43200 - 72000 £ per year.
HIRING JUNIORS LOOKING TO ENTER QUANT SPACE - BASE 66K+ BONUS
- Maintain and upgrade the codebase and configuration of strategies within the firm’s automated trading framework.
- Manage large datasets used in both research and production environments.
- Work in close collaboration with quant researchers and traders to understand the constantly evolving needs of the trading desks.
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
Familiarise yourself with the latest trends in quantitative analysis and automated trading. This will not only help you understand the role better but also show your enthusiasm and commitment during any discussions with our team.
✨Tip Number 2
Brush up on your coding skills, particularly in languages commonly used in quantitative finance like Python or R. Being able to demonstrate your coding proficiency can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the quant space. Attend relevant meetups or webinars to connect with industry insiders who can provide insights and potentially refer you to opportunities at StudySmarter.
✨Tip Number 4
Prepare to discuss your experience with data management and analysis. Be ready to share specific examples of how you've handled large datasets, as this is a crucial part of the role we’re hiring for.
We think you need these skills to ace Quantitative Analyst
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the responsibilities of a Quantitative Analyst. Highlight your understanding of automated trading frameworks and your ability to manage large datasets in your application.
Tailor Your CV: Make sure your CV reflects relevant skills and experiences related to quantitative analysis, coding, and data management. Use specific examples that demonstrate your capability to work with quant researchers and traders.
Craft a Strong Cover Letter: Write a cover letter that showcases your enthusiasm for entering the quant space. Discuss your interest in automated trading and how your background aligns with the firm's needs. Be sure to mention any relevant projects or coursework.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any grammatical errors or typos, as attention to detail is crucial in quantitative roles. A polished application reflects your professionalism.
How to prepare for a job interview at Anson McCade
✨Brush Up on Your Coding Skills
As a Quantitative Analyst, you'll be expected to maintain and upgrade the codebase. Make sure you're comfortable with the programming languages relevant to the role, such as Python or R, and be prepared to demonstrate your coding skills during the interview.
✨Understand the Trading Environment
Familiarise yourself with the basics of automated trading and the types of strategies used in the industry. This knowledge will help you engage in meaningful discussions with quant researchers and traders about their needs and challenges.
✨Showcase Your Data Management Skills
Since managing large datasets is a key part of the job, be ready to discuss your experience with data manipulation and analysis. Highlight any relevant projects or tools you've used to handle data effectively.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your analytical thinking and problem-solving abilities. Practice solving quantitative problems or case studies that may relate to trading strategies or data analysis to showcase your skills.
