At a Glance
- Tasks: Design and implement machine learning models to enhance global trading strategies.
- Company: IMC, a leading tech-driven trading firm in London.
- Benefits: Competitive salary, collaborative environment, and opportunities for innovation.
- Other info: Join a dynamic team where your ideas are valued and career growth is encouraged.
- Why this job: Make a real impact in finance using cutting-edge machine learning techniques.
- Qualifications: Final year student with an MSc in a quantitative field and strong ML foundations.
The predicted salary is between 60000 - 80000 £ per year.
As a Graduate Machine Learning Researcher at IMC, your work will directly impact our global trading strategies. You will apply advanced machine learning, statistical, and computational techniques to solve complex, real-world trading problems, contributing to trading strategies across global equities, futures, and options markets. Machine Learning Researchers work closely with Traders and Developers in an environment where problem solving, innovation and teamwork are recognized and rewarded.
Your Core Responsibilities:
- Design, implement, and evaluate machine learning models for trading applications, with successful research deployed into production.
- Apply rigorous statistical techniques to measure performance, control overfitting, and understand model risk and interpretability.
- Investigate novel machine learning approaches through rigorous experimentation and analysis in real trading environments.
- Communicate research progress and outcomes effectively, ensuring knowledge transfer within the team and across departments.
- Collaborate closely with traders, researchers, and engineers to translate research into production trading systems.
Your Skills and Experience:
- Currently in your final year of study, graduating in 2027.
- A minimum of an MSc (PhD preferred) in Machine Learning, Statistics, Deep Learning, Probabilistic Programming, or a related quantitative field.
- Strong foundations in statistics and machine learning, with a demonstrated research track record in ML, deep learning, or another quantitative field.
- Proficiency in fundamental ML frameworks like Pytorch and experience in Python.
- Solid understanding of statistics.
- Desirable: publications in respected journals covering deep learning or time-series modeling.
- No prior finance knowledge or experience required.
- Ability to commence full-time employment in February or August 2027.
GRADUATE MACHINE LEARNING RESEARCHER - LONDON employer: IMC B.V.
At IMC, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Principal Research Scientist in Machine Learning, you will have the unique opportunity to influence cutting-edge research while working alongside top-tier professionals in a supportive environment that values mentorship and professional growth. With access to state-of-the-art resources and a commitment to engaging with the academic community, IMC offers a rewarding career path for those looking to make a significant impact in the field of machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land GRADUATE MACHINE LEARNING RESEARCHER - LONDON
✨Embrace Online Competitions
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We think you need these skills to ace GRADUATE MACHINE LEARNING RESEARCHER - LONDON
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at IMC B.V., don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at IMC B.V. aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at IMC B.V.
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
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As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
