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- 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 PhD candidates eager to apply their knowledge to impactful financial challenges.
- Qualifications: Must be a PhD candidate in a technical field with strong maths and programming skills.
- Other info: This is a summer internship opportunity for 2024, ideal for those passionate about data science.
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
PhD Quant Intern- Summer 2024 employer: Eka Finance
Contact Detail:
Eka Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PhD Quant Intern- Summer 2024
✨Tip Number 1
Network with professionals in the quantitative research 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
Showcase your programming skills by working on personal projects or contributing to open-source projects. Highlight any experience you have with Python or C++ in your discussions with potential colleagues, as this will demonstrate your practical abilities.
✨Tip Number 3
Familiarise yourself with current trends in data science and machine learning, particularly in finance. Being able to discuss recent advancements or case studies during interviews can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how your academic research can be applied to real-world financial problems. Think of specific examples where your mathematical concepts could enhance predictive signals or risk management strategies, as this will show your practical understanding of the role.
We think you need these skills to ace PhD Quant Intern- Summer 2024
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 that showcase your skills in data science and machine learning.
Craft a Compelling Cover Letter: Write a cover letter that explains your interest in the PhD Quant Intern position. Discuss how your research aligns with the company's focus on predictive signals and algorithm enhancement. Be specific about your experiences and how they relate to the role.
Showcase Relevant Projects: Include details of any research projects or coursework that demonstrate your ability to apply mathematical concepts to real-world problems. Highlight any experience you have with optimisation techniques or financial applications.
Proofread and Format: Before submitting your application, carefully proofread your CV and cover letter for any errors. Ensure that your documents are well-formatted and easy to read, as this reflects your attention to detail and professionalism.
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 application of mathematical concepts to real-world problems, as this will demonstrate your fit for the role.
✨Demonstrate Programming Proficiency
Be ready to talk about your programming experience, especially in Python or C++. You might be asked to solve a coding problem or explain your approach to a programming challenge, so brush up on your coding skills beforehand.
✨Understand the Company’s Focus
Research the company’s current projects and methodologies. Familiarise yourself with their algorithms and predictive signals, as this knowledge will help you engage in meaningful discussions during the interview.
✨Prepare Questions
Have insightful questions ready to ask your interviewers. This shows your genuine interest in the role and the company, and it can also provide you with valuable information about the team and their projects.