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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 advancements.
The predicted salary is between 43200 - 72000 £ per year.
Quantitative Researcher – High Frequency Trading
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.
Scroll down to find the complete details of the job offer, including experience required and associated duties and tasks.
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.
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 passion for the field.
✨Tip Number 2
Network with professionals already working in high-frequency trading or quantitative research. 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 by contributing to open-source projects or developing your own algorithmic trading strategies. 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. 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. Emphasise your proficiency in relevant programming languages like Python, C++, or Java, and any machine learning techniques you've used.
Craft a Strong Cover Letter: In your cover letter, express your passion for high-frequency trading and detail how your background aligns with the responsibilities of the role. Mention specific projects or achievements that demonstrate your skills in designing and optimising trading strategies.
Showcase Your Analytical Skills: Provide examples of how you've applied analytical and problem-solving skills in previous roles. This could include discussing specific challenges you faced in algorithm development and how you overcame them.
Highlight Collaboration Experience: Since the role involves collaboration with academic minds, mention any past experiences where you've worked in teams, particularly in research or engineering settings. Highlight your communication and leadership skills to show you're a team player.
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 Analytical Thinking
Expect questions that assess your analytical and problem-solving abilities. Prepare to explain how you approach complex problems and the methodologies you use to derive solutions, especially in a high-frequency trading context.
✨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 learning will impress 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 achieve common goals.
