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For Companies At a Glance
- Tasks: Develop systematic trading strategies and analyse complex data.
- Company: Join a dynamic finance firm at the forefront of trading innovation.
- Benefits: Enjoy competitive pay, flexible work options, and a vibrant team culture.
- Why this job: Be part of a cutting-edge team that values creativity and problem-solving.
- Qualifications: Master’s or PhD in maths, stats, physics, or computer science required.
- Other info: Ideal for those living in London or willing to relocate.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Role :-
You will be working as a Quantitative Researcher possessing exceptional analytical capabilities and have a real passion for developing systematic strategies and coming up with new ideas.
Prior experience in crafting high to mid- frequency trading signals is highly desirable. Candidates who exhibit an entrepreneurial spirit and the belief that any problem, no matter its complexity, can be addressed, are highly regarded.
You will ideally be living in London or have the desire to relocate.
Requirements :-
A Master’s or a PhD degree in mathematics, statistics, physics, computer science.
Very strong research skills and experience using sophisticated mathematical tools in different contexts
Strong programming skills in Python or Rust.
Track record of having a scientific approach to analysing real-world problems and large amounts of empirical data (1+ year experience)
Strong familiarity with concurrency and OOP
Comfortable working with Linux/Unix, AWS, Git, Docker
Apply :-
Please send a PDF CV to quants@ekafinance.com
High to Mid- Frequency Trading Signal Quant / London employer: Eka Finance
Contact Detail:
Eka Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land High to Mid- Frequency Trading Signal Quant / London
✨Tip Number 1
Network with professionals in the quantitative finance field. Attend industry meetups, conferences, or webinars to connect with people who work in high to mid-frequency trading. This can help you gain insights into the role and potentially lead to referrals.
✨Tip Number 2
Showcase your programming skills by contributing to open-source projects or creating your own projects on platforms like GitHub. This not only demonstrates your technical abilities but also your passion for coding and problem-solving.
✨Tip Number 3
Stay updated on the latest trends and technologies in quantitative trading. Follow relevant blogs, podcasts, and research papers to understand current methodologies and tools used in the industry, which can give you an edge during interviews.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and coding challenges related to quantitative analysis. Websites like LeetCode or HackerRank can be great resources to sharpen your skills and get familiar with the types of questions you might face.
We think you need these skills to ace High to Mid- Frequency Trading Signal Quant / London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in quantitative research, particularly in high to mid-frequency trading. Emphasise your programming skills in Python or Rust and any projects that showcase your analytical capabilities.
Showcase Your Education: Clearly state your Master’s or PhD degree in mathematics, statistics, physics, or computer science. Include any relevant coursework or projects that demonstrate your strong research skills and familiarity with sophisticated mathematical tools.
Demonstrate Problem-Solving Skills: In your application, provide examples of how you've tackled complex problems using a scientific approach. Highlight any experience you have with analysing large datasets and the methodologies you employed.
Express Your Passion: Convey your enthusiasm for developing systematic strategies and your entrepreneurial spirit in your cover letter. Mention your willingness to relocate to London if applicable, as this shows commitment to the role.
How to prepare for a job interview at Eka Finance
✨Showcase Your Analytical Skills
Be prepared to discuss your analytical capabilities in detail. Bring examples of past projects where you developed systematic strategies or solved complex problems using mathematical tools.
✨Demonstrate Programming Proficiency
Since strong programming skills in Python or Rust are essential, be ready to showcase your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand.
✨Familiarise Yourself with Relevant Technologies
Make sure you understand the technologies mentioned in the job description, such as Linux/Unix, AWS, Git, and Docker. Being able to discuss how you've used these tools in previous roles will impress your interviewers.
✨Exhibit an Entrepreneurial Spirit
The company values candidates with an entrepreneurial mindset. Prepare to share instances where you've taken initiative or approached problems creatively, demonstrating your ability to tackle challenges head-on.
