Machine Learning Researcher - Investment Firm

A highly sophisticated technology-driven investment firm is building out a next-generation research team focused on applying modern machine learning to complex prediction problems across global financial markets.

This position sits at the intersection of fundamental research and real-world impact. You will develop novel modelling approaches, work with extremely large and high-fidelity datasets, and help translate research insights into production systems that influence automated decision-making at scale.

Key Responsibilities

• Develop and evaluate advanced machine learning models for prediction, pattern discovery, and signal generation
• Explore deep learning architectures across structured and unstructured data sources
• Design large-scale experimentation pipelines to test hypotheses and measure model robustness
• Partner with quantitative researchers and engineers to move research prototypes into production environments
• Improve model performance through feature innovation, architecture exploration, and optimization strategies
• Build research tooling and infrastructure that accelerates iteration and experimentation
• Analyze complex time-dependent datasets to uncover relationships relevant to market behavior

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Ideal Background

• Doctorate in a quantitative discipline such as Machine Learning, Computer Science, Statistics, Mathematics, or Physics
• Meaningful experience developing and deploying deep learning models in research or industry settings
• Demonstrated intellectual contribution to the field through publications, open research, or impactful systems
• Strong programming ability in Python or C++
• Experience working with modern ML ecosystems such as PyTorch, JAX, or TensorFlow
• Exposure to sequence modelling, time-series forecasting, reinforcement learning, or probabilistic modelling
• Strong mathematical intuition combined with practical engineering instincts
• Ability to operate in highly collaborative, performance-driven technical environments

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What Makes This Opportunity Compelling

• Direct influence on real-time automated decision systems
• Access to significant computational resources and uniquely rich datasets
• Close collaboration with elite technical peers across research and engineering
• Fast research-to-production feedback cycles
• Compensation structure designed to attract top global ML talent

Base salary: Approximately $300K, with final compensation based on role scope, experience, education and training, and key skills.

Visa sponsorship is available for this position.