Societe Generale→
Bernstein - Quantitative Research & Trading Intern – Fall 2026
InternshipHybridNew York, NY$105k–$105k/yr
Skills
quantitative modelingtrading algorithmsmarket data analysispythonc++javadata structuresalgorithmsprobabilitystatisticsmachine learninglinuxdistributed systemstime series modelingself-drive
Job Description
Summary: Societe Generale is a premier global equity research and brokerage firm, and they are seeking a Quantitative Research & Trading Intern for Fall 2026. The intern will work closely with a small, high-impact team to develop quantitative models, analyze market data, and support algorithmic trading strategies.
Responsibilities:
- Develop and enhance quantitative models for trading and execution
- Analyze large-scale market data to extract actionable signals
- Support algorithmic trading strategies (alpha, execution, microstructure)
- Build tools for data analysis, simulation, and visualization
- Collaborate with engineers on system integration (Python / Java / C++)
- Debug and improve production trading systems
Required Qualifications:
- Strong self-drive and ability to work independently
- Background in Mathematics, Statistics, Computer Science, or Engineering
- Programming experience in at least one of: Python, C++, or Java
- Understanding of data structures, algorithms, probability, and statistics
- Ability to read and understand complex existing codebases
- Be in your penultimate year of study of a bachelor's or master's degree, we will also consider post graduate interns
- Be available for full-time or part-time work the fall of 2026
Preferred Qualifications:
- Experience with quantitative trading, financial markets, or time series modeling
- Familiarity with machine learning techniques
- Experience with 3D modeling or simulation tools (e.g., Blender), demonstrating spatial reasoning and technical creativity
- Exposure to Linux, distributed systems, or cross-language systems (e.g., Java ↔ C++)
Required Skills: Quantitative modeling, Trading algorithms, Market data analysis, Python, C++, Java, Data structures, Algorithms, Probability, Statistics, Machine learning, Linux, Distributed systems, Time series modeling, Self-drive
Internship Start Date: Start in 2026 Fall