A top-tier systematic hedge fund is seeking a Machine Learning Researcher to develop and deploy novel alpha signals using state-of-the-art ML and deep learning techniques. This is a pure research role — you will not be maintaining infrastructure, only generating alpha. You will work directly with portfolio managers and have a direct line from research to capital allocation.
What Makes This Role Stand Out:
The fund has exceptional data infrastructure and is not constrained on compute. You will have access to proprietary and alternative datasets, GPU clusters, and a world-class research platform. Your job is to find edge. Successful researchers here generate some of the most competitive compensation in the industry.
Key Responsibilities:
• Research and develop alpha signals using ML, deep learning, and statistical learning techniques
• Apply models to price, volume, fundamental, sentiment, and alternative data to generate predictive features
• Evaluate signals rigorously: information coefficient, decay, turnover, and regime robustness
• Build ensemble and meta-learning frameworks to combine signals across strategies
• Work closely with portfolio managers to integrate signals into live strategies
• Stay current with the academic literature on financial ML and signal research
• Publish internally and present research at team seminars
Required Experience & Qualifications:
• PhD in Machine Learning, Statistics, Computer Science, Physics, or a closely related quantitative discipline
• 2–6 years of quantitative research experience in a systematic trading or investment context
• Deep expertise in supervised, unsupervised, and reinforcement learning applied to financial data
• Expert Python and PyTorch/TensorFlow skills; experience with large-scale data processing (Spark, Dask)
• Strong statistical rigour: understanding of overfitting, multiple testing, and out-of-sample validation
• Track record of generating novel, live alpha signals a significant advantage
Compensation:
• Highly competitive base salary with substantial performance bonus
• Direct alignment between research output and compensation
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