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- Tasks: Develop innovative trading models and conduct cutting-edge quantitative research.
- Company: Join Citadel, a leading investment team with a mission to excel globally.
- Benefits: Gain hands-on experience, network with experts, and enjoy a flexible internship schedule.
- Why this job: Challenge yourself in a dynamic environment and make an impact on financial markets.
- Qualifications: PhD in a quantitative field and strong coding skills in Python, R, or C++.
- Other info: Internship available in London, Paris, and Zurich with excellent career growth potential.
The predicted salary is between 500 - 1500 £ per month.
At Citadel, our mission is to be the most successful investment team in the world. Quantitative Researchers play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You’ll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.
As an intern, you’ll get to challenge the impossible in research through an 11 week program that will allow you to collaborate and connect with senior team members. In addition, you’ll get the opportunity to network and socialise with peers throughout the internship. Our signature internship program takes place June through August. Occasionally, we can be flexible to other times of the year. You will be able to indicate your timing preference in the application.
Your Objectives
- Conceptualize valuation strategies, develop and continuously improve upon mathematical models, and help translate algorithms into code.
- Back test and implement trading models and signals in a live trading environment.
- Use unconventional data sources to drive innovation.
- Conduct research and statistical analysis to build and refine monetization systems for trading signals.
Your Skills & Talents
- PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field.
- Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP).
- Prior experience working in a data driven research environment.
- Experience with translating mathematical models and algorithms into code (Python, R or C++).
- Independent research experience.
- Ability to manage multiple tasks and thrive in a fast-paced team environment.
- Excellent analytical skills, with strong attention to detail.
- Strong written and verbal communication skills.
Opportunities available in London, Paris and Zurich.
Quantitative Researcher – PhD Intern (Europe) employer: Citadel LLC
Contact Detail:
Citadel LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher – PhD Intern (Europe)
✨Tip Number 1
Network like a pro! Reach out to current or former interns and employees at Citadel on LinkedIn. Ask them about their experiences and any tips they might have for you. This can give you insider knowledge and help you stand out.
✨Tip Number 2
Brush up on your coding skills! Make sure you're comfortable translating mathematical models into code, especially in Python, R, or C++. Practise by working on personal projects or contributing to open-source ones to showcase your abilities.
✨Tip Number 3
Prepare for technical interviews by solving quantitative problems and case studies. Use platforms like LeetCode or HackerRank to sharpen your skills. The more you practise, the more confident you'll feel when it’s time to impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, you can indicate your preferred timing for the internship, which shows flexibility and enthusiasm.
We think you need these skills to ace Quantitative Researcher – PhD Intern (Europe)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Quantitative Researcher. Highlight your PhD work and any relevant projects that showcase your skills in mathematics, statistics, and coding. We want to see how your experience aligns with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative research and how you can contribute to our team. Be sure to mention any unique data sources or innovative approaches you've used in your past work.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills, especially in Python, R, or C++. Include specific examples of how you've translated mathematical models into code. We love seeing practical applications of your knowledge!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. Make sure to double-check your application for any typos or errors before hitting submit. Good luck, and we can't wait to see what you bring to the table!
How to prepare for a job interview at Citadel LLC
✨Know Your Numbers
Brush up on your statistical knowledge and be ready to discuss concepts like probability, machine learning, and time-series analysis. Make sure you can explain how these techniques apply to financial markets, as this will show your understanding of the role.
✨Showcase Your Coding Skills
Be prepared to talk about your experience with coding in Python, R, or C++. You might even be asked to solve a coding problem during the interview, so practice translating mathematical models into code beforehand to demonstrate your technical prowess.
✨Research the Company
Familiarise yourself with Citadel’s mission and recent developments in quantitative research. Understanding their investment strategies and how they leverage data will help you tailor your answers and show that you're genuinely interested in the company.
✨Prepare Questions
Have a few insightful questions ready to ask your interviewers. This could be about their current projects, team dynamics, or how they approach innovation in trading models. It shows that you’re engaged and eager to learn more about the role and the company culture.