Théo Charron - Data Analyst

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Derivatives, gradient, and Hessian

Ordinary differential equations

Partial differential equations

Convex optimization

Gradient descent

Numerical methods

Information theory

Continuous univariate

Normal distribution

Stochastic processes

Descriptive statistics

Statistical inference

Hypothesis tests

Student's t-test

Mann-Whitney test

Machine Learning

General concepts

Cross-validation

Classical models

Reinforcement Learning

Quantitative finance

Markets & products

Financial products

Options & derivatives

Implied vs realized

Stochastic calculus

Risk management

Portfolio management

Market microstructure

Financial econometrics

Backtesting & systematic research

Engineering & Programming

C++ & performance

GPU architecture

CUDA programming

Data structures

CPU architecture

Design patterns

Abstract Factory

Chain of Responsibility

Template Method

Data engineering

Visual Studio Code

Jupyter Notebook

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