Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our Quantitative Research team to develop and test innovative ideas using real-world data.
- Company: A leading finance firm in London focused on quantitative research and algorithm development.
- Benefits: Gain hands-on experience, collaborate with experts, and enhance your skills in a dynamic environment.
- Why this job: Perfect for those passionate about maths and data science, making a real impact in finance.
- Qualifications: PhD candidates in technical fields with strong maths and programming skills are encouraged to apply.
- Other info: Remote work options may be available; send your CV to quants@ekafinance.com.
Job Description
Role :-
Â
This is a pure research role where you will be able to develop and test your ideas with real-world data in an environment that resembles academia. Â They are seeking an exceptional intern to join their Quantitative Research team in London where they will work with other researchers and developers on various research projects, including the design of novel predictive signals and the enhancement of our algorithms for prediction, trade execution, portfolio construction, risk management, among others
Â
Requirements :-
Â
Â
- Strong background in mathematics
- Intermediate level of programming in at least one OO language (Python/C++ desirable)
- An interest in applying data science, machine learning and optimization techniques to real-world problems
- You should be in the final year of a PhD in a highly technical or quantitative subject such as Mathematics, Physics, Statistics, Engineering, or Computer Science. PhD candidates only. Ideally, you will have completed a PhD. Post-Docs will also be considered.
- You will have an interest in applying mathematical concepts to real-world financial problems
Â
Apply:-
Â
Please send a PDF CV to quants@ekafinance.com
Contact Detail:
Eka Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Analysis Internship
✨Tip Number 1
Network with professionals in the quantitative finance field. Attend relevant conferences, workshops, or meetups in London to connect with researchers and developers. This can help you gain insights into the industry and potentially lead to referrals.
✨Tip Number 2
Engage in online communities and forums related to quantitative research and finance. Platforms like GitHub or Stack Overflow can be great for showcasing your programming skills and engaging with others who share your interests.
✨Tip Number 3
Consider working on personal projects that demonstrate your ability to apply mathematical concepts and programming skills to real-world financial problems. This will not only enhance your portfolio but also give you practical examples to discuss during interviews.
✨Tip Number 4
Prepare for technical interviews by brushing up on your knowledge of algorithms, data structures, and quantitative methods. Practising coding challenges in Python or C++ can help you feel more confident when discussing your programming abilities.
We think you need these skills to ace Quant Analysis Internship
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong background in mathematics and any relevant programming experience, particularly in Python or C++. Emphasise your academic achievements and any projects related to data science or machine learning.
Showcase Relevant Experience: Include any research projects or internships that demonstrate your ability to apply mathematical concepts to real-world problems. Detail your contributions and the outcomes of these projects to showcase your skills effectively.
Craft a Strong Cover Letter: Write a cover letter that explains your interest in the Quant Analysis Internship and how your background aligns with the role. Discuss your passion for applying data science and optimisation techniques in finance, and mention any specific projects or ideas you wish to explore.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail and professionalism, which is crucial in a research-focused role.
How to prepare for a job interview at Eka Finance
✨Showcase Your Mathematical Skills
Since this role requires a strong background in mathematics, be prepared to discuss your academic achievements and any relevant projects. Highlight specific mathematical concepts you've applied in your research and how they relate to real-world financial problems.
✨Demonstrate Programming Proficiency
As programming is essential for this internship, make sure to mention your experience with object-oriented languages like Python or C++. Be ready to discuss any projects where you've used these skills, especially in data analysis or algorithm development.
✨Express Your Interest in Data Science
The company values candidates who are keen on applying data science and machine learning techniques. Prepare examples of how you've used these methods in your research or projects, and be ready to discuss their potential applications in finance.
✨Prepare for Technical Questions
Expect technical questions related to quantitative analysis and algorithms. Brush up on key concepts in risk management, portfolio construction, and predictive modelling. Practising problem-solving scenarios can also help you feel more confident during the interview.
