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- Tasks: Join us as a Quantitative Researcher, developing innovative trading strategies and solving complex problems.
- Company: EKA Finance is a forward-thinking firm focused on quantitative analysis and systematic trading.
- Benefits: Enjoy a dynamic work environment in London with opportunities for growth and collaboration.
- Why this job: This role offers the chance to apply your analytical skills in a fast-paced, impactful setting.
- Qualifications: Master's or PhD in math, stats, physics, or computer science; strong programming skills required.
- Other info: Ideal candidates are entrepreneurial thinkers ready to tackle real-world challenges.
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
Quant Analyst employer: Eka Finance
Contact Detail:
Eka Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Analyst
✨Tip Number 1
Make sure to showcase your analytical capabilities during the interview. Prepare examples of how you've tackled complex problems using quantitative methods, as this will demonstrate your fit for the role.
✨Tip Number 2
Familiarize yourself with high to mid-frequency trading strategies. Being able to discuss specific strategies or tools you've used in the past can set you apart from other candidates.
✨Tip Number 3
Highlight your programming skills in Python or Rust. Be ready to discuss projects where you've applied these languages, especially in a quantitative context, as this is crucial for the role.
✨Tip Number 4
If you're not already in London, express your willingness to relocate. Showing enthusiasm for the location can reflect your commitment to the role and the company culture.
We think you need these skills to ace Quant Analyst
Some tips for your application 🫡
Highlight Your Education: Make sure to emphasize your Master’s or PhD degree in mathematics, statistics, physics, or computer science. Clearly state your academic achievements and any relevant coursework that aligns with the role.
Showcase Your Technical Skills: Detail your programming skills in Python or Rust. Include specific projects or experiences where you utilized these languages, especially in developing trading signals or analyzing data.
Demonstrate Analytical Experience: Provide examples of your experience with sophisticated mathematical tools and how you've applied them to solve real-world problems. Mention any relevant projects or research that showcase your analytical capabilities.
Tailor Your CV: Ensure your CV is tailored to the job description. Use keywords from the job listing, such as 'entrepreneurial spirit', 'high to mid-frequency trading signals', and 'scientific approach', to make your application stand out.
How to prepare for a job interview at Eka Finance
✨Showcase Your Analytical Skills
Be prepared to discuss your previous experiences where you applied analytical techniques. Highlight specific projects where you developed systematic strategies or crafted trading signals, as this aligns closely with the role.
✨Demonstrate Programming Proficiency
Since strong programming skills in Python or Rust are essential, be ready to talk about your coding experience. You might even be asked to solve a coding problem during the interview, so practice common algorithms and data structures.
✨Discuss Your Research Approach
Prepare to explain your scientific approach to analyzing complex problems and large datasets. Share examples of how you've used mathematical tools in different contexts to derive insights or solutions.
✨Emphasize Your Entrepreneurial Spirit
The company values candidates with an entrepreneurial mindset. Be ready to share instances where you tackled challenging problems creatively and how you believe any complexity can be addressed with the right approach.
