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Voleon in London invites a Research Intern to work with world-class ML scientists and statisticians on large-scale data sets and automated trading components. You will contribute to novel research at the frontier of statistical ML and collaborate with top professionals in finance and technology.
Ideal candidates are graduate students in quantitative fields aiming for a PhD by 2027/2028, with strong ML background, publication record, and programming skills.
the company 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.
Interest in financial applications is essential, but experience in finance is not a primary factor in our hiring
Equal Opportunity EmployerThe the company Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.