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, blending academia with cutting-edge research.
- Benefits: Gain hands-on experience, collaborate with experts, and enhance your skills in a dynamic environment.
- Why this job: Perfect for PhD candidates eager to apply their knowledge to impactful financial challenges.
- Qualifications: Final year PhD in a technical field; strong maths background and programming skills required.
- Other info: Remote work options may be available; send your CV to quants@ekafinance.com.
Job Description
Role :-
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. 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
Requirements :-
- 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
Apply:-
Please send a PDF CV to quants@ekafinance.com
PhD Quant Intern- Summer 2025 employer: Eka Finance
Contact Detail:
Eka Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PhD Quant Intern- Summer 2025
✨Tip Number 1
Network with professionals in the quantitative finance field. Attend relevant conferences, workshops, or meetups where you can connect with researchers and practitioners. 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 LinkedIn, GitHub, or even specific subreddits can be great places to showcase your knowledge, ask questions, and learn from others in the field.
✨Tip Number 3
Consider working on personal projects that demonstrate your programming skills and understanding of data science. Create a portfolio showcasing your ability to apply mathematical concepts to real-world problems, which can set you apart during interviews.
✨Tip Number 4
Prepare for technical interviews by brushing up on your programming skills, particularly in Python or C++. Practice coding challenges and review key concepts in machine learning and optimisation techniques that are relevant to the role.
We think you need these skills to ace PhD Quant Intern- Summer 2025
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 PhD work and any projects that demonstrate your ability to apply data science and machine learning techniques.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for quantitative research and your interest in applying mathematical concepts to financial problems. Mention specific projects or experiences that align with the role's requirements.
Highlight Relevant Skills: In your application, clearly outline your programming skills and any experience with algorithms, predictive signals, or risk management. This will help demonstrate your fit for the Quantitative Research team.
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, which is crucial in a research role.
How to prepare for a job interview at Eka Finance
✨Showcase Your Research Skills
Prepare to discuss your previous research projects in detail. Highlight how your work relates to quantitative finance and the specific skills you've developed that are relevant to the role.
✨Demonstrate Programming Proficiency
Be ready to talk about your programming experience, especially in Python or C++. Consider preparing a small coding example or discussing a project where you applied your programming skills to solve a problem.
✨Connect Mathematics to Real-World Applications
Think of examples where you've applied mathematical concepts to practical problems. Be prepared to explain how these experiences can translate into the financial sector, particularly in risk management and algorithm enhancement.
✨Stay Updated on Industry Trends
Familiarise yourself with current trends in quantitative finance, machine learning, and data science. Being able to discuss recent developments will show your enthusiasm for the field and your commitment to staying informed.
