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- Tasks: Develop innovative models and trading strategies using complex statistical techniques.
- 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 quantitative research and make a real impact in finance.
- 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 1500 - 2000 £ 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
- 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
- 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) in London 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) in London
✨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
Prepare for technical interviews by brushing up on your coding skills and statistical knowledge. Practice solving problems related to quantitative research, as this will show your potential employers that you're ready to tackle the challenges they'll throw at you.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant research or coding projects, make sure to highlight them in your conversations. This is your chance to demonstrate your skills and passion for quantitative research.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team at Citadel and ready to take on the challenge of being a Quantitative Researcher.
We think you need these skills to ace Quantitative Researcher – PhD Intern (Europe) in London
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 specific skills or experiences that relate directly to the job description.
Showcase Your Technical Skills: Since this role involves translating algorithms into code, make sure to highlight your programming skills in Python, R, or C++. Include any relevant projects or research that demonstrate your ability to work with complex data sets and statistical techniques.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding your application status!
How to prepare for a job interview at Citadel LLC
✨Know Your Numbers
Brush up on your probability and statistics knowledge. Be ready to discuss complex concepts like machine learning and time-series analysis, as these are crucial for the role. Prepare examples of how you've applied these techniques in past projects or research.
✨Showcase Your Coding Skills
Since translating mathematical models into code is key, make sure you can demonstrate your proficiency in Python, R, or C++. Bring along a portfolio of your coding projects or be prepared to solve a coding challenge during the interview.
✨Research the Company
Familiarise yourself with Citadel's investment strategies and recent market trends. Understanding their approach will help you tailor your answers and show that you're genuinely interested in contributing to their mission.
✨Prepare Thoughtful Questions
Think of insightful questions to ask your interviewers about their work and the team dynamics. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values and career goals.