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Selby Jennings
Manhattan, New York, United States
(on-site)
Posted
1 day ago
Selby Jennings
Manhattan, New York, United States
(on-site)
Job Function (focus on data-based)
Business/Finance
Quant Researcher
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Quant Researcher
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
We are working with a Global Quant Hedge Fund seeking a Alpha Generating - Quantitative Researcher (QR) - within Cash Equities to join their team. Our client is a leader in systematic investing, known for their rigorous research culture, cutting-edge technology, and consistent out-performance across global markets.This is an opportunity for a proven alpha generator to join a high-caliber team at the forefront of quantitative investing. As a Quantitative Researcher specializing in cash equities, you will have the autonomy, resources, and support to drive the full research lifecycle-from idea generation to production deployment-while collaborating with some of the brightest minds in the industry. This firm offers a unique platform for ambitious researchers to make a tangible impact; Their collaborative environment, commitment to innovation, and investment in people and technology set them apart. Researchers are empowered to leverage vast proprietary data sets, advanced research infrastructure, and a global execution platform to develop and implement systematic strategies that deliver sustainable alpha.
Responsibilities
- Design, develop, and implement systematic alpha signals for global cash equity portfolios using advanced statistical, econometric, and machine learning techniques.
- Conduct rigorous research on large-scale, high-frequency, and alternative datasets to identify persistent sources of alpha and market inefficiencies.
- Collaborate with data engineering and technology teams to source, clean, and structure both traditional and alternative data sets for research and production.
- Translate research insights into actionable, scalable, and robust trading strategies
Job ID: 80290205
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