Researcher Position
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Overview
We are seeking an exceptional researcher to join our dynamic team and contribute to various forecasting challenges using advanced machine learning techniques. The successful candidate will be responsible for applying sophisticated ML methods, collaborating with researchers, developers, and traders to improve existing models and explore new algorithmic approaches.
Key Responsibilities
* Conduct research and develop ML models to enhance trading strategies with a focus on deep learning and scalable deployment.
* Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches.
* Design and run experiments using the latest ML tools and frameworks.
* Develop automation tools to streamline research and system development.
* Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior.
* Partner with engineering teams to implement and test models in production environments.
Requirements
1. PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field.
* Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems.
* A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR.
* Strong programming skills in Python and/or C++.
* Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments.
* Hands-on experience applying deep learning on time series data.
* Strong foundation in mathematics, statistics, and algorithm design.
* Excellent problem-solving skills with a creative, research-driven mindset.
* Demonstrated ability to work collaboratively in team-oriented environments.
* A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment.
Why Join Us?
* Collaborate with a world-class team of researchers, engineers, and traders.
* Gain access to best-in-class financial data and high-performance computing resources.
* Directly impact real-time trading performance through your work.
* Thrive in a collaborative, intellectually rigorous environment with a global footprint.