Company 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.

Job Overview:

We are seeking a motivated and detail-oriented Quantitative Analyst Intern with experience in equity options to join one of our investment teams. The intern will contribute to the development, testing, and enhancement of quantitative models used for trading, risk management, and pricing within the equity derivatives space.

Key Responsibilities:

• Assist in developing and validating quantitative models for pricing, volatility modeling, and risk assessment of equity options.
• Analyze large sets of market and historical data to identify trends, inefficiencies, and opportunities for model or strategy improvement.
• Support ongoing research into equity options strategies, including volatility surfaces, skew analysis, and implied correlation modeling.
• Help design and perform backtests for trading strategies and risk management tools using real and simulated data.
• Develop and maintain analytical tools and dashboards in Python (and optionally Dash) to help traders and researchers visualize performance metrics and model outputs.
• Work closely with quantitative researchers, traders, and risk teams to translate research insights into practical applications for the trading desk.
  
  

Qualifications:

• Currently pursuing or recently completed a Master's in a quantitative discipline such as Financial Engineering, or a related field.
• Strong proficiency in Python, including experience with libraries such as pandas, NumPy, SciPy, and matplotlib. Experience with Dash or other visualization frameworks is a plus.
• Solid understanding of options theory, including the Black-Scholes model, Greeks, implied volatility, and volatility surfaces.
• Excellent quantitative and analytical skills with a strong ability to work with large datasets and complex models.
• Strong verbal and written communication skills, with the ability to clearly explain quantitative findings to both technical and non-technical audiences.
• Ability to produce accurate, high-quality work in a time-sensitive environment.
• Desirable Skills:
• Familiarity with financial data providers (e.g., Bloomberg, Refinitiv).
• Experience with backtesting frameworks or quantitative research platforms.
• Exposure to risk management concepts and portfolio analytics.
• Knowledge of other programming languages such as SQL, R, or C++ is an advantage.
  

$65-$75 per hour.