gatpier01
Quantitative Finance
Financial mathematics, probability, derivatives, market microstructure and practical risk modeling.
- Probability & statistics↗
- Derivatives foundations↗
- Pricing & Greeks↗
- Risk measurement↗
GATPIER EDUCATION
Learn the systems
behind modern finance.
Research-led programmes for people who want to think quantitatively, build confidently and understand the technology shaping financial work.
LEARNING ARCHITECTURE
From foundations
to applied work.
Each track combines theory, guided computation and project work. Programmes can stand alone or connect into a broader path through quantitative research.
02
Python for Finance
A rigorous programming path from numerical foundations to research workflows and reproducible analysis.
- Python foundations↗
- NumPy & pandas↗
- Scientific computing↗
- Research pipelines↗
03
Machine Learning
Statistical learning and modern neural methods taught with attention to validation, bias and market data.
- Supervised learning↗
- Time-series validation↗
- Deep learning↗
- Model risk↗
04
Networks & Systems
The computing foundations behind reliable data, distributed research and high-performance workloads.
- Network fundamentals↗
- Linux & infrastructure↗
- Distributed systems↗
- Parallel computing↗
HOW LEARNING WORKS
Concept. Code.
Test. Explain.
01 / Build intuition02 / Implement the idea03 / Test assumptions04 / Communicate results