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Unlock Next-Generation Trading Strategies
3 weeks ago
Job Opportunity:
As a Machine Learning Researcher, you will be part of a team that applies advanced techniques in AI and machine learning to develop next-generation trading strategies.
The Role:
- Seeking professionals with hands-on experience developing and implementing machine learning models for vast datasets and identifying new sources of alpha.
- Candidates must have a proven record of driving projects that apply advanced ML techniques to novel data sources.
- They should demonstrate measurable contributions to trading team performance through new models or enhancements to existing ones.
Key Responsibilities:
- Develop and deploy machine learning models that generate alpha or significantly improve trading strategy performance.
- Work collaboratively to bridge the gap between theoretical research and practical implementation.
Requirements:
- A Ph.D. or M.S. in a quantitative field is advantageous.
- Published research in machine learning, statistics, or a related field is highly regarded.
- Proficiency in Python and its data science ecosystem (e.g., pandas, NumPy, scikit-learn).
- Hands-on experience with deep learning frameworks (TensorFlow, PyTorch) and big data technologies.
What We Offer:
- A collaborative environment that rewards technical excellence, intellectual curiosity, and innovation.
Our Expectations:
- Seamless integration with a team of quants and developers.
- Passion for delivering high-quality work and meeting deadlines.