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- Tasks: Dive into research, develop and test ideas with real-world data in a collaborative environment.
- Company: Join a leading firm in quantitative finance, pushing the boundaries of data science and machine learning.
- Benefits: Gain hands-on experience in a dynamic team, enhancing your skills in a supportive setting.
- Why this job: Perfect for PhD candidates eager to apply math to finance and make a real impact.
- Qualifications: Must be a final-year PhD student in a technical field with programming skills in Python or C++.
- Other info: Post-Docs are welcome; 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 optimisation techniques to real-world problems
- You should be in the final or penultimate year of a PhD in a highly technical or quantitative subject such as Mathematics, Physics, Statistics, Engineering or Computer Science. PhD candidates only.
- You will have an interest in applying mathematical concepts to real world financial problems
Apply:-
Please send a PDF CV to quants@ekafinance.com
Quant Analysis Internship employer: Eka Finance
Contact Detail:
Eka Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Analysis Internship
✨Tip Number 1
Make sure to showcase your strong mathematical background during the interview. Prepare to discuss specific projects or research where you've applied mathematical concepts to solve real-world problems, especially in finance.
✨Tip Number 2
Brush up on your programming skills, particularly in Python or C++. Be ready to demonstrate your coding abilities through practical examples or even a live coding session, as this is crucial for the role.
✨Tip Number 3
Familiarize yourself with data science and machine learning techniques. Be prepared to discuss how you would apply these methods to enhance algorithms for prediction and risk management in finance.
✨Tip Number 4
Network with professionals in the quantitative research field. Attend relevant seminars or workshops, and connect with researchers on platforms like LinkedIn to gain insights and potentially get referrals.
We think you need these skills to ace Quant Analysis Internship
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Quant Analysis Internship. Familiarize yourself with the key skills mentioned, such as mathematics, programming, and data science.
Tailor Your CV: Craft your CV to highlight your strong background in mathematics and any relevant programming experience. Emphasize your PhD work and any projects that demonstrate your ability to apply mathematical concepts to real-world problems.
Showcase Relevant Projects: Include specific examples of research projects or experiences where you've applied data science, machine learning, or optimization techniques. This will help demonstrate your practical skills and interest in the field.
Prepare a Strong PDF CV: Ensure your CV is well-structured and formatted as a PDF before sending it to the provided email address. Double-check for any errors and make sure it reflects your qualifications effectively.
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 mathematical knowledge and how you've applied it in previous projects. Bring examples of your work that demonstrate your analytical thinking and problem-solving abilities.
✨Demonstrate Programming Proficiency
Make sure to highlight your programming skills, especially in Python or C++. Be ready to discuss specific projects where you utilized these languages, and if possible, prepare to solve a coding challenge during the interview to showcase your abilities.
✨Express Your Interest in Data Science
This internship involves applying data science and machine learning techniques. Share your experiences with these fields, including any relevant coursework, projects, or research. Show enthusiasm for how these techniques can solve real-world financial problems.
✨Prepare for Technical Questions
Expect technical questions related to quantitative analysis, algorithms, and risk management. Review key concepts and be ready to explain them clearly. Practicing common interview questions in these areas can help you feel more confident.
