Equity L/S Quant Research Analyst

Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008.  Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.

As a quant research analyst for one of our world leading Long Short businesses  you’ll have the opportunity to get exposed to all aspects of the business; performance analysis, portfolio, and risk management, execution analysis.

Responsibilities:

• Work with equity management to run various performance and risk related quantitative analyses
• Design and develop various tools in Python that will be crucial for analysis, research, trading, and risk management purposes
• Ensure integrity of data management pipeline and the underlying data itself, and actively identify, diagnose, and remedy data issues
• Provide ongoing maintenance, research support, and enhancements to Portfolio Managers in their daily processes.
• Collaborate cross-functionally with internal tech and data teams,  Portfolio managers, researchers, traders, and outside vendors
• Stay abreast of market trends and academic research to continually adapt and refine trading strategies and portfolio analytics
• Implement machine learning and other advanced techniques to enhance predictive accuracy

Qualifications:

• Exceptional analytical abilities and a strong problem-solving mindset
• At least 3 years experience in Python programming, ideally including libraries relevant to data analysis and machine learning
• Strong work ethic
• Effective collaborator
• Understanding of risk factor models and at least 2 to 3 years’ experience working with various vendor models (Barra/Axioma/Wolfe)
• Experience with AWS or other cloud technology is a plus