
Quantitative Finance Analyst Program - Paris
- Paris
- Stage
- Temps-plein
- Analyze data to identify patterns, revenue opportunities, and market trends.
- Conduct back testing and assess risk management strategies.
- Maintain and improve software systems and tools for trading operations.
- Assess models for conceptual soundness, risks, and enhancements.
- Propose creative solutions to complex challenges.
- Collaborate with internal teams to advance trading services.
- Focus on model development and review of conceptual design.
- Develop, validate, and enhance mathematical models and algorithms.
- Optimize financial solutions across asset classes and instruments.
- Enrolled in a Bachelor's or Master's program in mathematics, statistics, physics, engineering, computer science, economics, or data science/machine learning, graduating between January 2025 and December 2026.
- Proficiency in Python, C++, or Java.
- Strong analytical, quantitative, and problem-solving skills.
- Excellent communication skills for presenting complex concepts.
- Interest in banking analytics, global markets, and quantitative research.
- Ability to thrive in a fast-paced, collaborative environment.
- Experience with R, MATLAB, or SQL.
- Familiarity with data visualization tools like Tableau or Power BI.
- Understanding of banking products, financial instruments, and market dynamics.
- Strong organizational skills for managing multiple projects.
- Ability to articulate complex quantitative concepts to diverse audiences.
- Strong proficiency in financial modeling and data analysis - including probability theory, stochastic processes, statistics, partial differential equations, numerical analysis and econometrics.
- Good understanding of option pricing theory (i.e. quantitative models for pricing and hedging derivatives).
- Paris, FR