At a Glance
- Tasks: Join a dynamic research team to innovate in machine learning and shape future advancements.
- Company: Leading global proprietary trading firm with a focus on quantitative research.
- Benefits: Competitive salary, mentorship opportunities, and a chance to present at conferences.
- Other info: Exciting career growth and the chance to mentor emerging talent.
- Why this job: Make a real impact in ML while collaborating with top-tier professionals in London and New York.
- Qualifications: Advanced degree in STEM and strong ML experience required.
The predicted salary is between 60000 - 80000 £ per year.
We are partnered with a prominent proprietary trading firm, widely regarded as one of the leading quantitative trading firms globally. We are working alongside senior members of their London and New York offices as they seek to expand their teams by hiring top-tier research and trading professionals across several key desks in the regions. While the firm has historically attracted exceptional graduate talent from the world’s leading universities, it is now placing an increasing emphasis on attracting seasoned professionals to further enhance and diversify its teams.
We are seeking individuals to join our research team who have extensive experience in machine learning, whether from an applied or academic background. The ideal candidate will possess a strong understanding of a broad range of ML techniques and be passionate about experimenting with model architectures, feature transformations, and hyperparameters to drive robust and reliable inferences. As an ML researcher, you will play a key role in shaping the firm’s future ML advancements. This includes contributing to the recruitment of new ML talent, presenting at conferences, mentoring teammates, and helping define the organization’s strategic goals for machine learning.
Qualifications:
- An advanced degree in a STEM discipline.
- Advanced ML experience at a reputable buy-side player or Big Tech institution.
- Exceptional coding skills.
Locations: London and New York.
Quantitative Researcher/ ML Researcher employer: Tardis Group Pty Ltd
As a leading proprietary trading firm, we pride ourselves on fostering a dynamic and innovative work culture that encourages collaboration and continuous learning. Our London and New York offices offer exceptional growth opportunities for seasoned professionals in machine learning, with access to cutting-edge resources and the chance to work alongside industry experts. Join us to not only advance your career but also contribute to shaping the future of quantitative research in a supportive and intellectually stimulating environment.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher/ ML Researcher
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We think you need these skills to ace Quantitative Researcher/ ML Researcher
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!
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Craft a Tailored Cover Letter:For a full-time role at Tardis Group Pty Ltd, 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 Tardis Group Pty Ltd. 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 Tardis Group Pty Ltd
✨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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✨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.
