About the role#
This internship places you within the Equity Derivatives Financial Engineering team in New York. You will work at the intersection of quantitative finance, structuring, and trading. The primary focus is the modeling and pricing of structured notes and equity derivatives. You will collaborate with Financial Engineers, Structurers, Traders, and Quantitative Research teams to improve the approaches used to analyze and price these products.
What you'll do#
- Model and price equity derivatives and structured notes, including products with complex optionality and path-dependent features.
- Develop tools to analyze product valuation and key risk sensitivities, such as Greeks, volatility, correlation, dividends, and interest-rate sensitivities.
- Study and implement option-pricing methodologies using Monte Carlo simulation, numerical methods, and analytical or semi-analytical approaches.
- Analyze how different modeling assumptions affect the pricing and risk of structured products.
- Build and enhance Python-based quantitative tools and pricing libraries.
- Implement and test pricing methodologies and numerical algorithms.
- Perform studies comparing models, market parameters, and pricing approaches.
- Contribute to the automation and industrialization of pricing and analytics.
- Work with Structurers and Traders on real-life pricing problems and product analysis.
- Interact with Quantitative Research, Risk, and IT teams on models, methodologies, and implementation.
What you'll need#
- Bachelor’s, Master’s, or PhD studies in Mathematics, Applied Mathematics, Financial Engineering, Physics, Computer Science, Statistics, or a related quantitative discipline.
- Strong knowledge of probability, stochastic processes, numerical methods, and mathematical modeling.
- A good understanding of option theory and derivatives pricing, including the Black-Scholes framework, volatility, Greeks, and risk-neutral valuation.
- Exposure to advanced concepts such as local volatility, stochastic volatility, Monte Carlo methods, PDEs, or volatility surfaces.
- Strong programming skills, particularly in Python. Knowledge of C++ or C# is a plus.
- The ability to translate mathematical concepts into numerical implementations.
- Strong analytical and problem-solving skills.
- A genuine interest in financial markets, equity derivatives, and structured products.
- Intellectual curiosity and the ability to work in a trading-floor environment.
Location & details#
- Location: New York, New York.
- Term: Winter 2027.
- Modality: On-site.
- Employment: Full-time internship.
- Compensation: Paid position.
About Societe Generale
Societe Generale is a European financial services group founded in 1864. Based in Paris, the company operates across 66 countries and employs over 117,000 staff members. It provides retail banking, insurance, and investment solutions to 25 million clients including businesses and individuals. The organization functions through three core business segments covering French retail banking, international financial services, and global investor solutions.
How to get in at Societe Generale
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