Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop innovative models and trading strategies using complex statistical techniques.
- Company: Join a leading investment team on a mission to excel globally.
- Benefits: Gain hands-on experience, network with professionals, and enhance your skills.
- Why this job: Challenge yourself in quantitative research and make a real impact in finance.
- Qualifications: Pursuing a degree in a quantitative field with coding experience.
- Other info: Flexible internship timing with opportunities in major European cities.
The predicted salary is between 500 - 1500 £ per month.
Our mission is to be the most successful investment team in the world. Quantitative Researcher Analysts 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
- Conceptualise 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 monetisation systems for trading signals
Your Skills & Talents
- Bachelor's or master's 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, Zurich.
Quantitative Research Analyst Intern – BS/MS (Europe) in London employer: Citadel LLC
Contact Detail:
Citadel LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Research Analyst Intern – BS/MS (Europe) in London
✨Tip Number 1
Network like a pro! Reach out to current or former interns and team members 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
Prepare for those interviews! Brush up on your statistical techniques and coding skills, especially in Python or R. Practise explaining complex concepts in simple terms, as communication is key in this role.
✨Tip Number 3
Show your passion for quantitative research! During interviews, share any personal projects or research you've done that relates to the role. This demonstrates your initiative and genuine interest in the field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our mission to be the most successful investment team in the world.
We think you need these skills to ace Quantitative Research Analyst Intern – BS/MS (Europe) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Quantitative Research Analyst Intern. Highlight your relevant skills in mathematics, statistics, and programming languages like Python or R. We want to see how your background 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 projects or experiences that showcase your analytical skills.
Showcase Your Projects: If you've worked on any relevant projects, whether academic or personal, make sure to include them in your application. We love seeing practical applications of your skills, especially if they involve complex data sets or innovative trading models.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our team and culture.
How to prepare for a job interview at Citadel LLC
✨Know Your Numbers
Brush up on your knowledge of probability and statistics, as these are crucial for the role. Be prepared to discuss specific techniques you've used in past projects, like machine learning or time-series analysis, and how they can apply to the investment strategies you'll be working on.
✨Showcase Your Coding Skills
Since translating mathematical models into code is a key part of the job, make sure you can demonstrate your proficiency in Python, R, or C++. Bring examples of your previous work or projects where you've implemented algorithms, and be ready to talk through your thought process.
✨Research the Company
Familiarise yourself with the company's mission and recent developments in their investment strategies. This will not only help you tailor your answers but also show your genuine interest in the role and the company’s goals.
✨Prepare Questions
Have a list of insightful questions ready to ask your interviewers. This could include inquiries about the team dynamics, the types of data sources they use, or how they measure success in their trading models. It shows you're engaged and thinking critically about the role.