Quantitative Research - London, United Kingdom - Citadel Enterprise Americas
2 weeks ago
Description
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 socialize with peers throughout the internship.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:
- Advanced training in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field (Bachelors, Masters, PhD degree)
- Strong knowledge of probability and statistics (e.g. machine learning, timeseries analysis, pattern recognition, NLP)
- Background working in a data driven research environment
- Experience with NoSQL databases (e.g. MongoDB), distributed computing (e.g. MapReduce), and analytical packages (e.g. R, Matlab)
- Independent research experience
- Excellent analytical skills, with strong attention to detail
- Strong written and verbal communications skills
About Citadel
Citadel is one of the world's leading alternative investment managers. We manage capital on behalf of many of the world's preeminent private, public and nonprofit institutions.
We seek the highest and best use of investor capital in order to deliver market leading results and contribute to broader economic growth.
For over 30 years, Citadel has cultivated a culture of learning and collaboration among some of the most talented and accomplished investment professionals, researchers and engineers in the world.
Our colleagues are empowered to test their ideas and develop commercial solutions that accelerate their growth and drive real impact.
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