Winning team cracked complex dataset and the event’s top performers will now go on to compete for $100,000 international prize.
A team of students that mastered a complex dataset has won €20,000 at the Citadel and Citadel Securities Datathon, which took place at University College Dublin (UCD) at the weekend.
More than 80 participants from a pool of applicants consisting of undergraduate, graduate, PhD and postdoctoral research students in STEM areas battled it out at the event.
‘This weekend’s competition demonstrated the high calibre of talent that Ireland offers’
– JUSTIN PINCHBACK
The winning team consisted of Armin Krupp, Jakubus Ruibys, Bo Zhang and Arnas Gercas.
Selected participants will now go on to compete in the final Data Open competition in New York City later this year for a $100,000 prize.
“This series of competitions helps us connect with talented people who share our passion for tackling the most interesting and challenging problems that touch global markets,” said Justin Pinchback, head of talent strategy for Citadel.
“This weekend’s competition demonstrated the high calibre of talent that Ireland offers and we look forward to seeing contestants compete in our Data Open competition later this year.”
The event was the latest in a series of 18 datathons the companies are holding throughout the year at top universities across the US, UK and Ireland. The datathon competitions are also supported by Citadel’s partnership with Correlation One, a talent solutions technology company.
“The datathon represents a great opportunity for students to take on a team-based challenge and to link up with a leading company in data science, a space in which UCD and Ireland have built significant capability,” said Prof Orla Feely of UCD.
Updated 10 April 2017 at 3.07pm: This article has been amended following clarification from Citadel representatives that the prize fund amounted to €20,000, not €25,000 as previously stated. We have also clarified that select top performers from the event will go on to compete at the Data Open.
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