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Research Intern (London)

Organismo
Voleon
País
🇬🇧 Reino Unido
Lugar
London
Puestos
1
Tipo de vínculo
privado

Descripción del puesto

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. As a Research Intern, you will work directly with world-class machine learning scientists, statisticians, and technical innovators. You will be at the forefront of modern statistical machine learning innovation, applying novel research to large, high-dimensional data sets. This role is a means to make a difference: together with other Members of Research Staff, you will have an enduring impact on our field. Responsibilities Work on complex problems with a research team that has collectively published hundreds of academic articles in top-tier venues on machine learning, systems, and theory Apply expertise in a technical field such as statistics, mathematics, computer science, engineering, or operations research, to challenging problems in a burgeoning technical field Develop predictive models and other components of automated trading systems Engage in work ranging from data preparation to model development to production software implementation Requirements Current graduate student in a quantitative discipline, expecting to attain a Ph.D. degree in December 2026, or anytime in 2027 Background in modern statistical methods and machine learning Key contributions to multiple top tier publications Programming experience and inter

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