At a Glance
- Tasks: Collaborate with top researchers on cutting-edge AI and machine learning projects.
- Company: Voleon, a leading tech firm in AI-driven finance solutions.
- Benefits: Competitive pay, great perks, and access to expert-led tech talks.
- Other info: Join a diverse team and enjoy excellent career growth opportunities.
- Why this job: Make a real impact in the exciting field of machine learning and finance.
- Qualifications: Graduate student in a quantitative field with programming skills and research experience.
The predicted salary is between 500 - 1500 £ per month.
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, 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 interest in software development techniques.
- Must have the legal right to work in the UK prior to commencement of employment.
- Interest in financial applications is essential, but experience in finance is not a primary factor in our hiring.
The Voleon 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.
Research Intern (London) employer: The Voleon Group
The Voleon Group is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among top experts in the field of AI and machine learning. Located in Greater London, employees benefit from a balanced work-life environment, competitive compensation, and ample opportunities for professional growth, all while contributing to impactful research that influences billions in trades daily.
StudySmarter Expert Advice🤫
We think this is how you could land Research Intern (London)
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We think you need these skills to ace Research Intern (London)
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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