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XTX Markets · 4 months ago

AI Research Internship - XTY Labs

New York

Internship

Onsite

Intern

$35,000/mo - $420,000/mo

XTX Markets is a leading algorithmic trading firm that merges finance with advanced machine learning technology. The AI Research Internship at XTY Labs is aimed at highly motivated advanced degree students who will engage in pioneering research to develop original machine learning algorithms applicable to financial data, with the opportunity to influence real-world trading strategies.

Consumer ElectronicsElectronicsFinancial Services

Growth Opportunities

Responsibilities

Engage in pioneering research to devise original machine learning algorithms, with the autonomy to investigate and apply novel methods

Utilize a broad knowledge base across deep learning, natural language processing, time series analysis, control and optimization, reinforcement learning, among others

Architect, build, and refine models, agents, and software prototypes with a focus on robustness and generality

Clearly communicate research progress and findings, ensuring efficient internal knowledge transfer both verbally and in writing

Foster teamwork and collaborate with XTX Markets’ quantitative research team, contributing to a collective effort of fewer than twenty experienced researchers

Qualification

Machine LearningDeep LearningProgramming SkillsData ScienceOptimizationStatisticsNatural Language ProcessingResearch SkillsTeamworkCommunication

Required

Pursuing an advanced degree, ideally Ph.D., in computer science, electrical engineering, mathematics, or a related quantitative field, with at least one year remaining before your expected graduation date

Strong evidence of ability to conduct original research. That shall include a proven publication record in leading machine learning and AI venues (we do not count publication numbers)

Demonstrated practical experience and deep understanding of modern deep learning architectures, in particular transformers and its variants

Solid knowledge in fundamental data science, optimization, and statistics

Solid programming skills (language does not matter; Python is fine)

No prior experience in finance is needed