Machine Learning + AI Quant Researcher
A top-tier, highly collaborative team within a premier multi-manager hedge fund is looking to onboard a machine learning quantitative researcher for an equities focused team. This group combines rigorous quantitative research, cutting-edge machine learning techniques, proprietary datasets, and world-class computational infrastructure to uncover alpha in global markets.
They are seeking exceptional machine learning researchers to work alongside experienced professionals, applying advanced ML methodologies to unique, high-quality data sources to generate novel trading signals with real-world impact. Prior experience in finance is not required-just a passion for solving complex problems and a strong foundation in machine learning. This is a rare opportunity to contribute to a high-impact team at the forefront of AI and quantitative finance.
Key Responsibilities:
- Lead end-to-end research initiatives, from ideation and model selection to implementation, evaluation, and deployment.
- Adapt and extend existing ML models-or develop new ones-to extract predictive insights and enhance portfolio performance.
- Research developments in AI/ML and related technologies, identifying opportunities to integrate emerging tools and techniques into their research pipeline.
- Work with PMs and traders across the business.
Ideal Candidates Will Have:
- A Master's or PhD in machine learning, computer science, statistics, or a related technical field.
- Strong experience in areas such as sequence modeling, graph neural networks, reinforcement learning, or LLMs.
- Proficiency in Python and ML frameworks
- Familiarity with software engineering best practices, including version control, testing, and collaborative workflows.
- Excellent communication skills and a team-oriented mindset.
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