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Verition Fund Management LLC · 2 days ago

Spring/Summer 2026 Internship for Graduating Students

New York, New York, United States

Internship

Onsite

Intern

$75/hr - $75/hr

Start in 2026 Spring

Verition Fund Management LLC is a multi-strategy hedge fund focused on global investment strategies. They are seeking a motivated Quantitative Analyst Intern to assist in the development and enhancement of quantitative models for trading and risk management in the equity derivatives space.

Business DevelopmentFinanceFinancial Services

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

Qualification

PythonOptions theoryQuantitative analysisData visualizationAnalytical skillsRisk managementSQLRC++Communication skills

Required

Currently pursuing or recently completed a bachelor's or master's degree 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

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