Quantitative Research Analyst

Verition is a multi-strategy hedge fund. The Quantitative Research Analyst develops and implements models, algorithms, and investment strategies for alpha generation, risk management, and financial decision-making, and collaborates with portfolio managers and traders to deliver actionable insights.

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

Preferred

• Experience with machine learning, AI, and big data analytics in finance is a plus
• Machine Learning
• Artificial Intelligence
• Big Data Analytics
• Finance Industry Experience

Company

• Multi-strategy, multi-manager global hedge fund
• Greenwich, Connecticut, USA
• https://www.verition.com/
• Founded in 2008
• 501-1000 employees

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
• Excellent written and verbal communication skills
• High level of intellectual curiosity, strong work ethic, and a keen attention to detail
• Ability to work effectively in a team-oriented, fast-paced, and dynamic environment
• Experience with machine learning, AI, and big data analytics in finance is a plus

Required skills

• Alpha Generation, Big Data Analytics in Finance, MATLAB, Machine Learning, Predictive Analytics, Python, Quantitative Analysis, R, Statistical Analysis and Modeling

Preferred skills

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Experience

• Mid level