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For Companies At a Glance
- Tasks: Dive into research and create cutting-edge trading models that drive success.
- Company: Join a dynamic finance firm focused on innovative quantitative strategies.
- Benefits: Enjoy a collaborative environment with opportunities for growth and learning.
- Why this job: Perfect for analytical minds eager to make an impact in finance and tech.
- Qualifications: PhD or Masters in a quantitative field; strong coding skills required.
- Other info: Open to candidates nearing PhD completion or with relevant work experience.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
Role:-
As a quantitative analyst , you will be responsible for researching and implementing alpha generating , risk and trading models . This is a hands – on role responsible for creating and optimising new quantitative systematic portfolio models.
Requirements:-
PhD or Masters degree in a quantitative discipline. They are interested in candidates from red brick Universities who have a first class degree and all A’s in their A Levels.
Strong coding expertise in either Matlab, Python, R, Java or C++
Solid statistical knowledge and familiarity with packages such as R or Matlab
Time series modelling / simulation or quantitative research experience
Experience of working with large & complex data sets
A solid foundation in optimization, probability and statistics
Practical approach to problem solving
Outstanding quantitative, analytical and problem solving skills
Good communication skills.
They are open to considering candidates who are about to complete a PhD and also open to candidates who have prior work experience within the equity systematic space.
Apply:-
Please send a PDF resume to Sara Hunter at quants@ekafinance.com
Junior Quant Analyst employer: Eka Finance
Contact Detail:
Eka Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Quant Analyst
✨Tip Number 1
Make sure to showcase your coding skills prominently. Since strong coding expertise in languages like Python, R, or Matlab is crucial for this role, consider preparing a portfolio of projects that demonstrate your proficiency and problem-solving abilities.
✨Tip Number 2
Familiarize yourself with the latest trends in quantitative finance and systematic trading. Being able to discuss recent developments or innovations in the field during your interview can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with large data sets and time series modeling. Be ready to provide specific examples of how you've tackled complex data challenges in the past, as this will demonstrate your practical approach to problem-solving.
✨Tip Number 4
Since communication skills are emphasized, practice explaining complex quantitative concepts in simple terms. This will help you convey your ideas clearly during interviews and show that you can work well in a team environment.
We think you need these skills to ace Junior Quant Analyst
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your quantitative skills and relevant experience. Emphasize your education, especially if you have a PhD or Masters in a quantitative discipline, and include any coding expertise in Matlab, Python, R, Java, or C++.
Showcase Relevant Experience: If you have experience with time series modeling, simulation, or working with large data sets, be sure to detail these experiences. Use specific examples to demonstrate your problem-solving skills and analytical abilities.
Highlight Communication Skills: Since good communication skills are essential for this role, consider including examples of how you've effectively communicated complex quantitative concepts in previous roles or projects.
Submit Your Application: Once your resume is polished and tailored, convert it to PDF format and send it to the specified email address (quants@ekafinance.com). Double-check for any typos or errors before hitting send!
How to prepare for a job interview at Eka Finance
✨Showcase Your Technical Skills
Be prepared to discuss your coding expertise in languages like Python, R, or Matlab. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to demonstrate your proficiency.
✨Demonstrate Your Quantitative Knowledge
Brush up on key concepts in optimization, probability, and statistics. Be ready to explain how you've applied these concepts in your previous work or research, especially in relation to time series modeling or quantitative research.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your analytical and problem-solving skills. Think of examples from your past experiences where you successfully tackled complex problems, and be ready to walk through your thought process.
✨Communicate Clearly and Effectively
Good communication skills are essential for this role. Practice explaining complex quantitative concepts in simple terms, as you may need to convey your ideas to non-technical stakeholders during the interview.
