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- Tasks: Develop and test automated trading strategies using advanced statistical techniques.
- Company: Join Citadel Securities, a top global market maker with a focus on innovation.
- Benefits: Gain hands-on experience, network with professionals, and enhance your skills in a dynamic environment.
- Why this job: Challenge yourself in quantitative research and make an impact in the financial markets.
- Qualifications: Pursuing a degree in a quantitative field with strong analytical and coding skills.
- Other info: Internship offers excellent networking opportunities and exposure to real-world trading environments.
The predicted salary is between 20000 - 30000 £ per year.
At Citadel Securities, a leading global market maker, our team of quantitative researchers models the markets and brings trading strategies to life every day. Specifically, this team develops and tests automated quant trading strategies using sophisticated statistical techniques. You will 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 will 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 will get the opportunity to network and socialise with peers throughout the internship.
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 Intern: Trading Models & Live Testing employer: Citadel Enterprise Americas LLC
Contact Detail:
Citadel Enterprise Americas LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Research Intern: Trading Models & Live Testing
✨Tip Number 1
Network like a pro! Reach out to current or former interns and employees at Citadel Securities 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! Since you'll be translating algorithms into code, make sure you're comfortable with Python, R, or C++. Consider working on small projects or contributing to open-source to showcase your skills.
✨Tip Number 3
Prepare for technical interviews by practising problem-solving and statistical analysis questions. Use platforms like LeetCode or HackerRank to sharpen your skills. The more prepared you are, the more confident you'll feel!
✨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 genuinely interested in joining the team at Citadel Securities.
We think you need these skills to ace Quantitative Research Intern: Trading Models & Live Testing
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Quantitative Research Intern. Highlight your experience with statistical techniques and any relevant projects that showcase your skills in mathematics, programming, or data analysis.
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 your background aligns with the objectives of the internship. Be sure to mention any specific experiences that relate to trading models or live testing.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills, especially in programming languages like Python, R, or C++. If you've worked on any projects involving machine learning or time-series analysis, make sure to include those details!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way to ensure your application gets into the right hands and shows your enthusiasm for joining our team at Citadel Securities!
How to prepare for a job interview at Citadel Enterprise Americas LLC
✨Know Your Numbers
Brush up on your probability and statistics knowledge. Be ready to discuss concepts like machine learning, time-series analysis, and pattern recognition. You might even be asked to solve a problem on the spot, so practice explaining your thought process clearly.
✨Show Off Your Coding Skills
Since translating algorithms into code is key for this role, make sure you’re comfortable with Python, R, or C++. Prepare to talk about any projects you've worked on that involved coding, and if possible, bring examples of your work to showcase your skills.
✨Research the Company
Familiarise yourself with Citadel Securities and their approach to quantitative research. Understand their trading strategies and recent innovations in the market. This will not only help you answer questions but also show your genuine interest in the company.
✨Prepare Questions
Have a list of 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 you're engaged and eager to learn more about the role and the company culture.