Equities Quant Researcher
A leading, multi-manager hedge fund with +$15Bn AuM is growing an established team. This is an opportunity to work under a Portfolio Manager with extensive experience running systematic cash equity strategies. They are looking for a Quantitative Researcher with demonstrated experience conducting alpha research on cash equities.
The ideal hire would have experience applying machine learning and/or statistical learning techniques to develop models to enhance the trading process.
The fund prides itself on its high-quality data, robust infrastructure, and a collaborative culture. This would be an opportunity to learn from a diverse team, with extensive sell and buy-side experience.
Responsibilities
- Developing alpha strategies from global cash equities.
- Leveraging machine learning tools to identify alpha signals from traditional, fundamental, and alternative datasets.
- Collaborating with the PM, supporting with idea generation, data analysis, and backtesting.
- Contributing to the research and trading pipeline, including Risk and Factor Modelling.
Requirements
- Advanced degree in a quantitative field such as Mathematics, Physics, Statistics, or Engineering.
- Demonstrated experience developing systematic cash equity/ statistical arbitrage strategies.
- Experience with machine learning models and/or statistical learning models (e.g. LLMs, neural networks, Deep Learning models, etc.).
- Capacity to excel in a fast-paced environment.
- Strong coding skills in at least one of the following programming languages: Python, R, MATLAB, and /or C++, C#.
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