At a Glance
- Tasks: Collaborate with top researchers on AI and machine learning projects in finance.
- Company: Voleon, a leading tech firm in AI-driven investment management.
- Benefits: Competitive pay, daily catered lunches, and a modern office environment.
- Other info: Join a dynamic team with opportunities for growth and innovation.
- Why this job: Make a real impact in the exciting field of machine learning and finance.
- Qualifications: Graduate student in a quantitative discipline with programming experience.
The predicted salary is between 63000 - 77000 £ per year.
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 interest in software development techniques.
- Authorization to work in the United Kingdom.
- Interest in financial applications is essential, but experience in finance is not a primary factor in our hiring.
Research Intern (London) employer: Voleon
Voleon is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, we provide ample opportunities for mentorship and professional development, ensuring that our team members thrive in their careers. Our commitment to cutting-edge technology and data-driven strategies makes Voleon a unique place to work, where your contributions directly impact our success in the dynamic world of quantitative trading.
StudySmarter Expert Advice🤫
We think this is how you could land Research Intern (London)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Voleon!
✨Show Off Your Projects
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Voleon.
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We think you need these skills to ace Research Intern (London)
Some tips for your application 🫡
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Voleon, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Voleon. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Voleon
✨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!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Voleon!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
