Internship - Equity Derivatives Quantitative Pricing

Societe Generale SA; New York (NY); On-site; USD 39,000 - 55,000; Part time

Job summary

Societe Generale invites applications for an Equity Derivatives Financial Engineering internship in New York. You will join the team focused on pricing, modeling and analytics for structured notes and equity derivatives, collaborating with traders, structurers and researchers.

The role emphasizes quantitative tools development in Python, Monte Carlo methods, and robust numerical implementations in a fast-paced trading environment.

Qualifications

• Bachelor’s, Master’s or PhD studies in Mathematics, Applied Mathematics, Financial Engineering, Physics, Computer Science, Statistics or another strongly quantitative discipline.

Responsibilities

• Work on the modeling and pricing of equity derivatives and structured notes with complex optionality.

Skills

Probability & stochastic

Numerical methods

Mathematical modeling

Python programming

C++ or C#

Quantitative analysis

Analytical thinking

Problem solving

Financial markets interest

Trading-floor environment

Education

Bachelor/Master/PhD in quantitative field

Tools

Python

C++

C#

Job description

Responsibilities

Société Générale Global Markets Division (MARK) provides talented students and graduates with the opportunity to develop their careers within a leading global markets franchise.

Société Générale Global Markets Division (MARK) provides talented students and graduates with the opportunity to develop their careers within a leading global markets franchise.

During this internship, you will join the Equity Derivatives Financial Engineering team in New York, working at the intersection of quantitative finance, structuring and trading.

The primary focus of the internship will be the pricing and modeling of structured notes and equity derivatives. You will work closely with Financial Engineers, Structurers, Traders and Quantitative Research teams to develop and improve quantitative approaches used to analyze and price structured products.

This position is particularly suited to a candidate with a strong quantitative background and a deep interest in derivatives pricing, option theory and mathematical modeling.

Intern Responsibilities

Structured Products Pricing & Quantitative Analysis

• 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.

Quantitative Development & Modeling

• 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.

Collaboration with Trading, Structuring & Quantitative Research

• 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.

Required

Profile required

• 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.
• Exposure to more advanced concepts such as local volatility, stochastic volatility, Monte Carlo methods, PDEs or volatility surfaces is a strong plus.
• Strong programming skills, particularly in Python. Knowledge of C++ or C# is a plus.
• 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.

Business insight

Societe Generale is committed to offering an inclusive recruitment experience to all candidates. If you require any reasonable accommodations during the recruitment process, please do not hesitate to let our Recruiters know.

OUR CULTURE:

At Societe Generale, we live by our 4 core values of commitment, responsibility, team spirit and innovation. We are engaged and demonstrate consideration for others. We act ethically and with courage. We focus our talent and energy on collective success. We experiment and propose new ideas. This way, we maximize our ability to serve client needs and anticipate market changes. Societe Generale is committed to strengthening bonds with colleagues, communities, and the world in which we live, because relationships are at the heart of how we operate. For more information about our Culture and Conduct initiatives, please visit this link (https://americas.societegenerale.com/en/careers/get-know-culture/)

DIVERSITY, INCLUSION & BELONGING (DIB):

Our DIB Mission: Recruit, develop, retain and advance a talented workforce that is united in our efforts to leverage our talent and further develop an inclusive environment that will enhance our competitive position and deliver innovative solutions to our clients. It seeks to foster an environment where employee differences are valued and where all employees feel engaged, supported, respected, and informed. For more information about our DIB initiatives, please visit this link: https://americas.societegenerale.com/en/careers/get-know-diversity/

USE OF AI GUIDELINES FOR CANDIDATES:

Société Générale permits responsible use of artificial intelligence (AI) in recruitment. Information provided by candidates must authentically reflect their own skills and experience. AI must not be used for real-time interview coaching, to complete assessments, or to generate responses during interviews. Misuse may undermine the integrity of the process and result in exclusion. This restriction does not apply to assistive technologies used for accessibility or disability-related purposes.

COMPENSATION:

Base salary range does not include overtime pay, bonus and/or other benefits, where applicable. Actual base salary offer will vary based on skills and experience. The role is eligible for an annual discretionary bonus and includes a competitive benefits package including 401(k) plan with company match, medical/dental/vision, and other benefits for fertility, wellness, student loans and commuters.