Quantitative Researcher Job at JW Michaels & Co., New York, NY

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  • JW Michaels & Co.
  • New York, NY

Job Description

Our client, a $2.5bn AUM Investment Fund, is actively seeking a Senior Quantitative Researcher to join their NYC based team. The team trades both US and Global Equities systematically and is seeking a candidate with a strong understanding of financial markets to help support their equity portfolio.

Key Responsibilities:

  • Signal Generation & Alpha Research: Develop, implement, and refine quantitative models that generate alpha signals within global equity markets. Apply advanced statistical and machine learning techniques to uncover insights from complex data sets.
  • Data Analysis & Integration: Utilize diverse data sources (market data, fundamental data, alternative data, etc.) to create robust quantitative models. Work with large datasets and cutting-edge tools to ensure quality, integrity, and relevance.
  • Collaboration & Cross-functional Work: Collaborate with other researchers and developers to translate research into actionable investment strategies. Provide insight into model performance and offer continuous improvements.
  • Model Testing & Validation: Backtest, validate, and monitor model performance to ensure they meet desired risk and return objectives. Continuously track and optimize for performance across different market conditions.
  • Market Research & Innovation: Stay updated on the latest industry trends, research methodologies, and innovations in quantitative finance. Experiment with new data sources and techniques to keep the firm ahead of the curve.

Qualifications:

  • Experience: 5+ years of experience in quantitative finance or research, with a focus on global systematic equity strategies. Previous experience working in hedge funds, asset management, or quantitative research teams is highly preferred.
  • Educational Background: Master’s or Ph.D. in a quantitative field such as Mathematics, Physics, Computer Science, Statistics, or Engineering.
  • Technical Skills: Proficiency in programming languages such as Python or C++. Familiarity with machine learning techniques is a plus.
  • Financial Knowledge: Deep understanding of equity markets, financial instruments, and quantitative portfolio management strategies.
  • Collaborative Nature: Ability to work effectively in a team-oriented environment, with strong communication skills and a proven track record of delivering high-quality research in a collaborative setting.
  • Problem-Solving Ability: Exceptional analytical and problem-solving skills, with the ability to approach complex problems and deliver innovative solutions.

This is an incredible opportunity to join a growing and successful team, working on cutting edge research in the NYC area! If interested, and your experience with aligns with what the firm is looking for, please apply with your resume attached.

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