Quantitative Research Analyst

Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008 with 8.7B in AUM.  This role would be specifically in the Quant Strategies Group. 

As a quant researcher on one of our world class quant trading teams, you’d responsible for developing and implementing complex models and algorithms that inform on investment strategies, risk management, and financial decision-making. This role requires a blend of statistical analysis, algorithm development, and deep understanding of financial markets.

Responsibilities:

• Develop and implement models and strategies focused on alpha generation across various asset classes. Use statistical and machine learning techniques to identify market inefficiencies.
• Perform complex data analysis to uncover patterns and predictive signals in market data. Create robust financial models for forecasting and risk assessment.
• Quantitative Research: Conduct research to understand market dynamics and investor behavior. Apply quantitative methods to develop strategies that capitalize on market anomalies and trends.
• Design algorithms for efficient trade execution and portfolio optimization, ensuring they align with alpha-generation goals.
• Work closely with portfolio managers and traders, providing them with actionable insights and recommendations for alpha-generating strategies.
• Continuously monitor and analyze the performance of deployed strategies. Refine and adjust approaches based on market feedback and performance data.
• Effectively communicate complex quantitative strategies and findings to stakeholders, including non-technical audiences, to inform decision-making processes.

Qualifications:

• Degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• Solid experience in quantitative analysis with a proven track record in alpha generation.
• Strong skills in Python, R, MATLAB, or similar tools for complex data analysis and model development.
• Exceptional skills in statistical analysis and modeling, with a focus on predictive analytics and pattern recognition.
• Ability to think creatively to identify new opportunities for alpha generation.
• Excellent verbal and written communication skills for effective collaboration and presentation of findings.
• Experience with machine learning, AI, and big data analytics in finance is a plus