Job Description:
We seek a driven and talented Deep Learning Researcher to join the esteemed prop-trading firm with offices in New York, London, and Amsterdam. The successful candidate will spearhead innovative AI and machine learning research, working autonomously on cutting-edge projects to enhance our high-frequency trading strategies. Our team comprises exceptional individuals, including Math and Informatics Olympiad medalists, ICPC champions, and Kaggle grandmasters. The ideal applicant will possess the expertise and creativity to contribute significantly to our research efforts, furthering our position at the forefront of quantitative finance and artificial intelligence applications in trading.
Requirements:
- PhD in Computer Science or any other stem degree from a prominent university (or expected to complete this year). Computer Vision background would be an advantage.
- Strong foundation in machine learning and mathematical statistics. Math Olympiads would be an advantage.
- Practical experience and a deep understanding of modern DL architectures, especially transformers and their variants.
- Proficient programming skills (any language, with Python preferred).
- Published research in top-tier journals and conferences – ICLR, ICML, etc.
- Hands-on experience conducting high-quality research
- Experience analysing large, unstructured, and noisy datasets
Responsibilities:
- Conduct original research in artificial intelligence, machine learning, and related quantitative fields
- Develop and experiment with modern deep-learning architectures
- Analyse large, unstructured, and noisy datasets to extract meaningful insights
- Collaborate with leading research labs and academic institutions to foster innovation and knowledge exchange
- Continuously explore new methodologies and technologies to enhance research outcomes