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- Tasks: Design and optimise high-performance algorithmic trading strategies.
- Company: Join a world-leading prop firm in high-frequency trading.
- Benefits: Enjoy competitive pay, performance bonuses, and cutting-edge technology.
- Why this job: Collaborate with top minds and stay ahead in quantitative trading advancements.
- Qualifications: Bachelor’s or master’s in a quantitative field; strong coding skills required.
- Other info: Proficiency in machine learning techniques is essential.
The predicted salary is between 43200 - 72000 £ per year.
A world leading prop firm is seeking a highly skilled and experienced Quantitative Researcher to join their world-class HFT team. In this role, you will be responsible for designing, implementing, and optimizing high-performance algorithmic trading strategies. You will collaborate with top academic minds in research and engineering to continually improve existing strategies and stay at the forefront of quantitative trading advancements.
- Collaborate with the best academic minds in research and engineering to continually improve existing strategies and develop new ones.
- Manage risk effectively to optimize trading performance.
- Stay up-to-date with the latest advancements in quantitative trading and apply them to improve trading strategies.
Bachelor’s or master’s degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields.
- Proficient in machine learning techniques and tools.
- Strong coding skills in languages such as Python, C++, or Java.
A competitive compensation package, including a base salary and performance-based bonuses, is offered. You will have the opportunity to work with cutting-edge technology and collaborate with top academic minds in the field of quantitative trading.
Contact Detail:
Algo Capital Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher - Machine Learning
✨Tip Number 1
Network with professionals in the quantitative trading field. Attend industry conferences, webinars, or local meetups to connect with experts and learn about the latest trends and technologies. This can help you gain insights and potentially get referrals.
✨Tip Number 2
Showcase your coding skills through personal projects or contributions to open-source projects. Having a portfolio that demonstrates your proficiency in Python, C++, or Java can set you apart from other candidates and highlight your practical experience.
✨Tip Number 3
Stay updated on the latest advancements in machine learning and quantitative trading. Follow relevant blogs, research papers, and online courses to deepen your knowledge and be prepared to discuss these topics during interviews.
✨Tip Number 4
Prepare for technical interviews by practising algorithmic problems and quantitative challenges. Use platforms like LeetCode or HackerRank to sharpen your problem-solving skills, as this is often a key component of the interview process for quantitative roles.
We think you need these skills to ace Quantitative Researcher - Machine Learning
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in quantitative research and machine learning. Emphasise your coding skills in Python, C++, or Java, and any projects that showcase your ability to design and implement trading strategies.
Craft a Strong Cover Letter: In your cover letter, express your passion for quantitative trading and your desire to work with a leading prop firm. Mention specific experiences where you collaborated with others to improve strategies or managed risk effectively.
Showcase Your Technical Skills: Include a section in your application that details your proficiency in machine learning techniques and tools. If you have any relevant certifications or completed courses, be sure to mention them as well.
Highlight Continuous Learning: Demonstrate your commitment to staying up-to-date with advancements in quantitative trading. Mention any recent research papers you've read, conferences attended, or online courses completed that relate to the field.
How to prepare for a job interview at Algo Capital Group
✨Showcase Your Technical Skills
Be prepared to discuss your coding skills in Python, C++, or Java. Bring examples of past projects or algorithms you've developed, and be ready to explain your thought process and the outcomes.
✨Demonstrate Your Knowledge of Machine Learning
Since the role requires proficiency in machine learning techniques, brush up on key concepts and be ready to discuss how you've applied them in previous roles or projects. Highlight any specific tools or frameworks you are familiar with.
✨Understand the Trading Environment
Familiarise yourself with high-frequency trading and the current trends in quantitative trading. Being able to discuss recent advancements or strategies will show your genuine interest and commitment to the field.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions during the interview. Practice solving algorithmic challenges or case studies related to trading strategies, as this will demonstrate your analytical thinking and ability to manage risk effectively.
