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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 high-frequency 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 quantitative trading.
- Qualifications: Bachelor’s or master’s in a quantitative field; strong coding and analytical skills required.
- Other info: Ideal for those passionate about finance and technology in a fast-paced setting.
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 (London Area) 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 (London Area)
✨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 potential colleagues. Building relationships can lead to valuable insights and even referrals for job openings at firms like ours.
✨Tip Number 3
Showcase your coding skills by contributing to open-source projects or creating your own algorithmic trading models. Having a portfolio of your work can set you apart from other candidates and provide concrete examples of your abilities during discussions.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and coding challenges related to algorithm design and optimisation. Websites like LeetCode or HackerRank can be great resources. 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 (London Area)
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.
Craft a Strong Cover Letter: In your cover letter, express your passion for high-frequency trading and your desire to work with top academic minds. Mention how your skills align with the responsibilities of the role and provide examples of your past successes in similar positions.
Showcase Technical Skills: Clearly outline your technical skills in programming languages like Python, C++, or Java. If you have experience with specific machine learning techniques or tools, be sure to mention them as they are crucial for this role.
Highlight Collaboration Experience: Since the role involves collaboration with researchers and engineers, include examples of past teamwork experiences. Emphasise your communication and leadership skills, showcasing how you've successfully worked in dynamic environments.
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've 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're 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 new trading products or strategies.
