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- Tasks: Design and optimise high-performance algorithmic trading strategies in a dynamic environment.
- Company: Join a world-leading prop firm at the forefront of quantitative trading.
- Benefits: Enjoy competitive pay, performance bonuses, and work with cutting-edge technology.
- Why this job: Collaborate with top academics and enhance your skills in a fast-paced, innovative culture.
- Qualifications: Bachelor’s or master’s in a quantitative field; strong coding and analytical skills required.
- Other info: Ideal for those passionate about machine learning and algorithmic trading.
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.
Responsibilities:
- Design, implement, and optimize HFT algorithmic strategies
- 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
- Investigate and implement new trading products and strategies
- Stay up-to-date with the latest advancements in quantitative trading and apply them to improve trading strategies
Qualifications:
- Bachelor’s or master’s degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields
- Proven track record of designing, implementing, and optimizing algorithmic trading strategies
- Proficient in machine learning techniques and tools
- Excellent analytical and problem-solving skills
- Strong coding skills in languages such as Python, C++, or Java
- Ability to work in a fast-paced, dynamic environment
- Strong communication and leadership skills
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. Please apply now for more information.
Quantitative Researcher - HFT employer: Algo Capital Group
Contact Detail:
Algo Capital Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher - HFT
✨Tip Number 1
Familiarise yourself with the latest trends in high-frequency trading and quantitative research. Follow industry leaders on social media, read relevant research papers, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals already working in high-frequency trading. Attend industry conferences, webinars, or local meetups to connect with like-minded individuals. Building relationships can lead to valuable insights and potential referrals for job openings.
✨Tip Number 3
Showcase your coding skills through personal projects or contributions to open-source platforms. Create a portfolio that highlights your algorithmic trading strategies or machine learning applications. This practical demonstration of your abilities can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and coding challenges related to quantitative research. Use platforms like LeetCode or HackerRank to sharpen your skills. Being well-prepared will boost your confidence and improve your chances of impressing the interviewers.
We think you need these skills to ace Quantitative Researcher - HFT
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative research and algorithmic trading. Include specific projects or strategies you've worked on, especially those that demonstrate your proficiency in machine learning and coding skills.
Craft a Strong Cover Letter: In your cover letter, express your passion for high-frequency trading and how your background aligns with the company's goals. Mention any collaborations with academic minds or relevant projects that showcase your analytical and problem-solving skills.
Showcase Technical Skills: Clearly outline your technical skills in programming languages like Python, C++, or Java. Provide examples of how you've used these skills to design or optimise trading strategies, as this is crucial for the role.
Highlight Continuous Learning: Mention any recent courses, certifications, or self-study related to quantitative trading advancements. This shows your commitment to staying updated in the field and your ability to adapt to new technologies and strategies.
How to prepare for a job interview at Algo Capital Group
✨Showcase Your Technical Skills
Be prepared to discuss your coding skills in languages like Python, C++, or Java. Bring examples of past projects where you designed and optimised algorithmic trading strategies, as this will demonstrate your hands-on experience.
✨Demonstrate Your Analytical Thinking
Expect questions that assess your problem-solving abilities. Prepare to explain your thought process when tackling complex quantitative problems, and be ready to discuss how you apply machine learning techniques in trading.
✨Stay Updated on Industry Trends
Research the latest advancements in quantitative trading and be ready to discuss how these can be applied to improve trading strategies. Showing that you are proactive about staying informed will impress your interviewers.
✨Emphasise Collaboration Skills
Since the role involves working with top academic minds, highlight your experience in collaborative environments. Be ready to share examples of how you've successfully worked in teams to develop and implement trading strategies.
