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Quantitative Researcher
My Client is a multi-strategy hedge fund with offices across New York, London, Hong Kong, and Singapore. The firm is hiring Quantitative Researchers for an Equity/Futures team based in London, and are targeting profiles with prior experience using Machine Learning to generate alpha in liquid markets.
Responsibilities:
- Develop predictive features from HFT/intraday market data and alternative data
- Develop research pipelines for tree-based models, deep learning, NLP, and related models
- Design ML-driven alphas for cash equities and futures
- Collaborate with other researchers and developers to implement signals, and optimize performance in live trading
- Use academic advancements in Machine Learning to develop and implement novel approaches to research
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Requirements:
- A master’s or PhD from a top-tier university in a quantitative discipline such as computer science, statistics, etc.
- 5+ years of alpha research at a leading firm.
- Experience in tree-based models, deep learning, LLMs/NLP, and a strong experience of overfitting-control
- Expert-level Python, C++ experience is preferred but not required
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There are also other roles available at varying levels of seniority within other teams/asset classes, as well as located in other places throughout Europe, Asia, and North America - so if you don't fit the exact description, still feel free to apply.
Reference: AMC/DMA/LDN2
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