Options Quant Analyst (Interest Rates)

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.

We are seeking a talented and motivated Options Desk Quant / Derivatives Analyst with a strong background in derivatives / options and systematic strategy development / data science. A strong python and applied programming background is a must.  The successful candidate will play a key role in developing and maintaining trading tools, developing and researching systematic and non-systematic trade strategies, and other various related functions. This role requires a blend of analytical, technical, and communication skills to work effectively within a collaborative trading environment.   The role may be a path to a risk-taking role down the road.

 Responsibilities:

• Analyze large datasets, including market data, trade data, and risk data, to extract insights, back-test strategies, and optimize trading approaches.
• Work closely with traders to understand their needs and develop tools and models that directly support trading strategies and decision-making.
• Contribute to the development of real-time risk monitoring tools to assess exposure and manage portfolio risk effectively.
• Continuously maintain and optimize desk technology stack (python library, databases, etc) and tools for speed and scalability to ensure high performance in a fast-paced trading environment.
• Stay up-to-date with market trends, options theory, and quantitative research to improve existing models and tools.
• Build and maintain interactive dashboards using Dash and Python to visualize market data, options analytics, and risk metrics for traders and portfolio managers.

Qualifications:

• Bachelor’s, Master’s, or PhD in a quantitative field such as Mathematics, Statistics, Economics, Physics, Engineering, Computer Science, or Financial Engineering.
• 3+ years of experience in a similar role, with a focus on options/interest rates trading or analytics.
• Strong proficiency in Python, with a strong understanding of data manipulation (pandas, NumPy) and visualization libraries (Plotly, Dash).
• Excellent quantitative and statistical analysis skills, with the ability to extract actionable insights from complex datasets.
• Strong written and verbal communication skills, with the ability to explain complex models and tools to traders and stakeholders.
• Highly entrepreneurial, with a strong sense of ownership.
• Additional preference for experience building interactive dashboards using Dash for real-time analytics and visualization.