Job Description

A systematic hedge fund in New York City is looking to bring on a Quantitative Researcher with experience across equities. This role offers a unique opportunity to work closely with a Portfolio Manager and contribute to the development and execution of data-driven strategies. You will be involved in the full research life cycle - from data acquisition and alpha generation to portfolio construction and performance analysis - within a collaborative and intellectually stimulating environment.

Responsibilities:

• Conduct research to identify and develop alpha-generating signals using financial and alternative datasets.
• Design and implement robust backtesting frameworks to evaluate strategy performance.
• Process, clean, and analyze large datasets to support research and trading activities.
• Assist in portfolio construction, including risk modeling, optimization, and constraint management.
• Monitor strategy performance and develop tools to track key metrics and identify anomalies.
• Collaborate with portfolio managers, data engineers, and other researchers to refine and implement strategies.
• Stay current with academic research, market trends, and technological advancements relevant to quantitative finance.

Requirements:

• B.S./M.S./PhD in a STEM field such as Mathematics, Physics, Engineering, Computer Science or Statistics
• 2-5+ Years of experience in a quantitative role within financial markets (hedge fund or proprietary trading firm)
• Solid understanding of statistical analysis, machine learning, and numerical optimization techniques
• Strong communication skills and collaborative mindset
• Excellent problem solving skills and attention to detail

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