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- Tasks: Support Quant Researchers and Traders by improving systems and preparing data for research.
- Company: Join a global Systematic Trading Firm making waves in Quantitative Finance.
- Benefits: Enjoy a competitive salary, flexible work options, and a year-end bonus.
- Why this job: Kickstart your career in a dynamic field with opportunities for growth and innovation.
- Qualifications: Strong Python skills and a relevant degree are essential; internships count!
- Other info: Perfect for recent grads eager to dive into the finance world.
The predicted salary is between 60000 - 70000 £ per year.
Quantitative Analyst – Entry Level Anson McCade London, United Kingdom Posted: 3 days ago Job Type: Flexible, Permanent Salary: GBP 60,000 – GBP 70,000 per annum + discretionary end of year bonus. The firm is a Systematic Trading Firm with a global presence, currently hiring recent or upcoming Graduates who would like to start their career in the Quantitative Finance space. You will be supporting Quant Researchers and Traders, understanding requirements and identifying opportunities to improve current systems and software, while preparing, processing, and cleaning data so that it is ready for research. Requirements Strong proficiency programming with Python Minimum 3 months internship/full-time experience using Python in a professional environment. Bachelors/Masters degree with a focus on Computer Science, Maths, Physics, Electrical Engineering, or Statistics. Compensation Base: £60,000 to £70,000. Subject to compensation history and approvals. Additional: End of year discretionary bonus. #J-18808-Ljbffr
Quantitative Analyst - Entry Level | London, UK | Flexible employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst - Entry Level | London, UK | Flexible
✨Tip Number 1
Make sure to brush up on your Python skills! Since strong proficiency in Python is a key requirement, consider working on personal projects or contributing to open-source projects to showcase your coding abilities.
✨Tip Number 2
Network with professionals in the Quantitative Finance space. Attend industry meetups or webinars to connect with people who work in systematic trading firms. This can help you gain insights and potentially get referrals.
✨Tip Number 3
Familiarize yourself with data processing and cleaning techniques. Since you'll be preparing and processing data for research, having a solid understanding of libraries like Pandas and NumPy will give you an edge.
✨Tip Number 4
Stay updated on the latest trends in quantitative finance and systematic trading. Reading relevant articles, research papers, or following thought leaders in the field can help you speak knowledgeably during interviews.
We think you need these skills to ace Quantitative Analyst - Entry Level | London, UK | Flexible
Some tips for your application 🫡
Highlight Relevant Skills: Make sure to emphasize your programming proficiency in Python, as well as any relevant experience you have from internships or projects. Tailor your CV to showcase how your skills align with the requirements of the Quantitative Analyst position.
Showcase Your Education: Clearly state your educational background, especially if you hold a degree in Computer Science, Maths, Physics, Electrical Engineering, or Statistics. Mention any relevant coursework or projects that demonstrate your quantitative skills.
Craft a Strong Cover Letter: Write a compelling cover letter that explains your interest in the role and the company. Discuss why you are passionate about quantitative finance and how your background makes you a suitable candidate for this position.
Proofread Your Application: Before submitting your application, carefully proofread all documents to ensure there are no typos or grammatical errors. A polished application reflects your attention to detail, which is crucial in the field of quantitative analysis.
How to prepare for a job interview at Anson McCade
✨Showcase Your Python Skills
Since strong proficiency in Python is a key requirement, be prepared to discuss your experience with it. Bring examples from your internship or projects where you used Python to solve problems or improve systems.
✨Understand Quantitative Finance Basics
Familiarize yourself with the fundamentals of quantitative finance. Be ready to explain how your background in Computer Science, Maths, or related fields can contribute to the role and support the team effectively.
✨Prepare for Technical Questions
Expect technical questions that assess your programming knowledge and problem-solving skills. Practice coding challenges or algorithms that are relevant to quantitative analysis to demonstrate your analytical thinking.
✨Ask Insightful Questions
Prepare thoughtful questions about the firm's trading strategies, the tools they use, and how you can contribute to their goals. This shows your genuine interest in the position and helps you understand if it's the right fit for you.
