Ai Research Engineer • Entry-Level

Who you are

You are an aspiring AI Research Engineer with a solid understanding of machine learning and deep learning principles. You have experience working with Python and are eager to apply your knowledge in a practical setting. You thrive in collaborative environments and are excited about the opportunity to contribute to cutting-edge research in algorithmic trading.

You possess strong analytical skills and are comfortable working with large datasets. Your curiosity drives you to explore new methods and ideas, and you are motivated to innovate within the financial technology space. You are open to feedback and eager to learn from experienced researchers and engineers.

What you'll do

As an AI Research Intern at XTX Markets, you will be provided with a dataset to construct and develop an AI model comprehensively from start to finish. You will collaborate with the Research Director to discuss your research history and knowledge in deep learning and machine learning. Your innovative thought processes will be evaluated to ensure compatibility with XTX's goals.

You will engage in hands-on research, applying state-of-the-art machine learning techniques to analyze financial data and contribute to the development of trading algorithms. Your work will directly impact the firm's ability to forecast prices and trade effectively across various financial instruments.

What we offer

XTX Markets provides a unique opportunity to work in a leading algorithmic trading firm with access to unrivaled computational resources. You will be part of a dynamic team of world-class researchers and technologists, gaining valuable experience in the fast-paced world of finance and technology. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

This internship will not only enhance your technical skills but also provide insights into the financial markets and algorithmic trading strategies. You will have the chance to learn from industry experts and contribute to meaningful projects that shape the future of trading.