Internship - Equity Derivatives Quantitative Pricing

Société Générale is hiring an intern for its Equity Derivatives Financial Engineering team in the Global Markets Division. The role focuses on pricing and modeling structured notes and equity derivatives, developing quantitative tools, and collaborating with structuring, trading, quantitative research, risk, and IT teams.

What you'll do:

• Work on the modeling and pricing of equity derivatives and structured notes, including products with complex optionality and path-dependent features
• Develop quantitative tools to analyze product valuation and key risk sensitivities, including Greeks, volatility, correlation, dividends and interest-rate sensitivities
• Study and implement option-pricing methodologies using techniques such as Monte Carlo simulation, numerical methods and analytical/semi-analytical approaches
• Analyze the impact of different modeling assumptions on the pricing and risk of structured products
• Develop and enhance Python-based quantitative tools and pricing libraries used by the Equity Derivatives Financial Engineering team
• Implement and test pricing methodologies and numerical algorithms
• Perform quantitative studies comparing models, market parameters and pricing approaches
• Contribute to the automation and industrialization of pricing and analytics
• Work closely 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
• Contribute to quantitative projects supporting the development of the Equity Derivatives and Structured Products franchise

What they're looking for:

• Bachelor's, Master's or PhD studies in Mathematics, Applied Mathematics, Financial Engineering, Physics, Computer Science, Statistics or another strongly quantitative discipline
• Strong knowledge of probability, stochastic processes, numerical methods and mathematical modeling
• Good understanding of option theory and derivatives pricing, including the Black-Scholes framework and concepts such as volatility, Greeks and risk-neutral valuation
• Strong programming skills, particularly in Python
• Ability to translate mathematical concepts into robust numerical implementations
• Strong analytical and problem-solving skills
• Genuine interest in financial markets, equity derivatives and structured products
• Intellectual curiosity, rigor and the ability to work in a fast-paced trading-floor environment
• Exposure to more advanced concepts such as local volatility, stochastic volatility, Monte Carlo methods, PDEs or volatility surfaces is a strong plus
• Knowledge of C++ or C++ is a plus

Benefits:

• Eligible for an annual discretionary bonus
• 401(k) plan with company match
• Medical, dental, and vision benefits
• Benefits for fertility, wellness, student loans, and commuters