Quantitative Research Analyst

Firm overview

Verition Fund Management LLC (Verition) is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including credit, fixed income & macro, convertible & volatility arbitrage, event-driven, equity long/short & capital markets, and quantitative strategies.

Role overview

As a quant researcher on one of our world-class quant trading teams, you'd be 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.
• 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.

Salary range

$100,000 - $200,000 USD