August 27
🏢 In-office - London
• Explore ways to approach and solve cutting-edge machine learning problems through classes, sessions, and discussions • Collaborate on real-world projects with full-time employees acting as mentors • Build models, strategies, and systems for algorithmically pricing and trading financial instruments
• An undergraduate, PhD student, or postdoc with practical experience working on ML problems • Able to apply logical and mathematical thinking to all kinds of problems • Intellectually curious — asking great questions is more important than knowing all the answers • A strong programmer in Python • An open-minded thinker and precise communicator who enjoys interacting with colleagues from a wide range of professional backgrounds and areas of expertise • Eager to ask questions, admit mistakes, and learn new things • Fluency in English required
• Access to office amenities • Physical and virtual educational resources • Guest speakers and social events
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