An invite-only research challenge convening STEM students for an all-expenses-paid, 3-day competition in London, United Kingdom.
Overview
Markets are complex, data-rich and fast-moving – a veritable playground for the curious and creative mathematical mind.
We’re pleased to convene the brightest quantitative talent from across Europe to show us their skills and apply their expertise to modeling a market scenario for a chance to win $10,000 – and enjoy an all-expenses paid week in London, United Kingdom.
Are you ready to put your skills to the test?
The Competition
In teams of two, observe patterns and form hypotheses to define ideas with mathematical precision.
- Each invited participant will get to bring one teammate of their choosing to tackle the quantitative challenge. All competitors must fall within eligibility guidelines below. Your teammate does not need to apply or be selected to qualify.
- Each pair will be provided a series of datasets and will spend the week applying sophisticated statistical techniques to the problem set. They will develop insights that they will present to a panel of Citadel Securities Quantitative Researchers who serve as judges.
- The Official Rules for the competition will be provided to participants at the time of program acceptance.
- The duration of the competition is three days.
Day 1: Orientation
Benefit from a firm overview, meet and greet Citadel Securities colleagues and fellow participants.
Days 2: Competition
Spend time on project work , benefit from mentorship and enjoy curated evening activities.
Day 3: Presentations
Complete final project work and share your findings with a panel of expert judges.
- An introduction to Citadel Securities, including information about internships and full-time roles
- Opportunity for mentorship from expert researchers
- Networking with employees and like-minded students
- Travel to and from the competition
- Curated events and experiences in-and-out of the office
Eligibility Requirements
- Students currently pursuing a Bachelor’s degree in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field.
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