Fionics
ML Quant Researcher (Intraday Equities)
Fionics, New York, New York, us, 10261
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Company : Top-tier hedge fund with an MFT-focused team, offering a collaborative, research-driven environment. Emphasizes machine learning for cutting-edge strategy development.
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Overview : ML Quant Research opportunity with a collaborative PhD heavy team. Will be using ML like LLMs and Nonstationarity modeling to develop forecasting and alpha strategies for equities trading team. This is a collaborative model with 5 years+ average tenure on most of the team (not a pod shop).
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Key Responsibilities :
Design and implement machine learning alpha research models and forecasting models for a mix of intraday and longer hold MFT equities strategies.Utilize LLMs, generative models, and nonstationarity modeling to develop effective and profitable trading signals and strategies•
Qualifications :
3-7 years of experience in a Quant ResearchExperience at a top buy side firm, or equivalent experiencePractical use of ML models in production.PhD level Math/Statistics skillsCollaborative and patient nature
Company : Top-tier hedge fund with an MFT-focused team, offering a collaborative, research-driven environment. Emphasizes machine learning for cutting-edge strategy development.
•
Overview : ML Quant Research opportunity with a collaborative PhD heavy team. Will be using ML like LLMs and Nonstationarity modeling to develop forecasting and alpha strategies for equities trading team. This is a collaborative model with 5 years+ average tenure on most of the team (not a pod shop).
•
Key Responsibilities :
Design and implement machine learning alpha research models and forecasting models for a mix of intraday and longer hold MFT equities strategies.Utilize LLMs, generative models, and nonstationarity modeling to develop effective and profitable trading signals and strategies•
Qualifications :
3-7 years of experience in a Quant ResearchExperience at a top buy side firm, or equivalent experiencePractical use of ML models in production.PhD level Math/Statistics skillsCollaborative and patient nature