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- Tasks: Join a team developing cutting-edge algorithms for high-frequency trading in digital assets.
- Company: A fast-growing proprietary trading shop focused on innovative trading technology.
- Benefits: Work in a dynamic environment with industry veterans and potential for remote work.
- Why this job: Make a real impact on trading performance while learning from top professionals.
- Qualifications: Strong analytical skills and a passion for quantitative research are essential.
- Other info: This role offers a unique chance to be at the forefront of trading innovation.
The predicted salary is between 48000 - 72000 £ per year.
My client is a fast-growing and innovative Proprietary Trading shop who are dedicated to building mid to high-frequency trading technology for digital assets. They are looking to hire a Quantitative Researcher in their London office, where you’ll be part of a world-class team developing and deploying advanced liquidity provisioning algorithms.
Their competitive edge lies in proprietary technology that integrates machine learning and stochastic control methods to deliver best-in-class pricing to a global client base. It’s a super unique opportunity to work in a high-impact, research-driven environment and work with very well respected industry veterans.
If you want your work to directly fuel trading performance and innovation and you think you’d be a good fit, I’d love to discuss further with you. Thank you.
Quantitative Researcher employer: Alexander Chapman
Contact Detail:
Alexander Chapman Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance and trading technologies. Being well-versed in machine learning and stochastic control methods will not only boost your confidence but also demonstrate your commitment to the field.
✨Tip Number 2
Network with professionals in the industry, especially those who work in proprietary trading or quantitative research. Attend relevant conferences or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 3
Prepare to discuss your previous projects and how they relate to liquidity provisioning algorithms. Be ready to explain your thought process and the impact of your work on trading performance, as this will showcase your practical experience.
✨Tip Number 4
Stay updated on the digital assets market and understand the challenges it faces. This knowledge will help you engage in meaningful conversations during interviews and show that you're genuinely interested in contributing to the company's success.
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Quantitative Researcher. Familiarise yourself with concepts like liquidity provisioning algorithms, machine learning, and stochastic control methods, as these will be crucial in your application.
Tailor Your CV: Highlight relevant experience in quantitative research, trading technology, or algorithm development. Use specific examples that demonstrate your skills in machine learning and data analysis to show how you can contribute to the team.
Craft a Compelling Cover Letter: Write a cover letter that not only expresses your enthusiasm for the role but also outlines how your background aligns with the company's innovative approach. Mention any previous projects or experiences that relate directly to high-frequency trading or digital assets.
Showcase Your Technical Skills: If applicable, include links to any relevant projects, publications, or GitHub repositories that showcase your technical abilities. This could be particularly beneficial in demonstrating your proficiency in programming languages or statistical software used in quantitative research.
How to prepare for a job interview at Alexander Chapman
✨Showcase Your Technical Skills
As a Quantitative Researcher, you'll need to demonstrate your proficiency in machine learning and stochastic control methods. Be prepared to discuss specific projects or experiences where you've applied these techniques, and consider bringing along examples of your work or code.
✨Understand the Trading Environment
Familiarise yourself with the basics of mid to high-frequency trading and how liquidity provisioning algorithms function. Showing that you understand the trading landscape will impress your interviewers and highlight your genuine interest in the role.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions during your interview. Practice solving quantitative problems and be ready to explain your thought process clearly. This will showcase your analytical skills and ability to think on your feet.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's technology, team dynamics, and future projects. This not only shows your enthusiasm for the role but also helps you gauge if the company culture aligns with your values and career goals.
