Advance your career in AI research with a top-tier financial institution!
As an experienced researcher, you will lead the development of cutting-edge machine learning models to enhance our trading strategies. Working at the intersection of research and real-world impact, you will leverage high-quality financial data to shape our understanding of market behavior.
The role involves:
- Conducting advanced research and developing ML models to drive business outcomes
- Collaborating with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
- Designing and running experiments using the latest ML tools and frameworks
- Developing automation tools to streamline research and system development
- Partnering with engineering teams to implement and test models in production environments
We are seeking researchers with a strong track record of applying deep learning to solve complex problems. The ideal candidate will have a solid foundation in diverse machine learning techniques and a passion for experimenting with model architectures, feature engineering, and hyperparameter tuning to produce resilient and high-performing models.
Key requirements include:
- PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field
- Strong programming skills in Python and/or C++
- Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow
- Hands-on experience applying deep learning on time series data
- Excellent problem-solving skills with a creative, research-driven mindset
Benefits include working with a world-class team of researchers, engineers, and traders, gaining access to best-in-class financial data and high-performance computing resources, and directly impacting real-time trading performance through your work.
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