AI Research Scientist

This is a rare opportunity to work alongside world-class Portfolio Managers, Quant Researchers, and Engineers, driving innovation and shaping the future of systematic trading strategies.

Key responsibilities

• Conduct cutting-edge research in machine learning, deep learning, NLP, reinforcement learning, and related AI domains.
• Develop novel algorithms and models that can be applied to large-scale, high-dimensional financial data.
• Collaborate with quantitative researchers and technologists to design, test, and implement trading signals and predictive models.
• Drive innovation in data-driven decision-making by leveraging alternative data, unstructured information, and state-of-the-art AI techniques.
• Contribute to the end-to-end research cycle, from hypothesis generation and model development to live deployment in trading strategies.

Ideal candidate profile

• PhD or MS in Computer Science, Machine Learning, Statistics, Applied Mathematics, or related technical discipline.
• Proven track record of research in AI/ML with publications in top-tier conferences/journals or impactful applied projects.
• Strong programming skills in Python, C++, or Java, and experience with ML frameworks (TensorFlow, PyTorch, JAX, etc.).
• Expertise in handling large, high-dimensional datasets and implementing scalable models.
• Intellectual curiosity, creativity, and the ability to work in a fast-paced, intellectually rigorous environment.
• Prior experience in financial markets is welcome but not required—a passion for applying AI research to real-world challenges is essential.

What’s on offer

• The chance to join one of the top-performing hedge funds globally, with a strong commitment to cutting-edge research.
• Highly competitive compensation packages including base salary, performance-based bonus, and long-term incentives.
• Access to world-class infrastructure, data, and technology to support innovative research.
• Collaborative culture that values excellence, innovation, and impact.