Course Outline
Introduction to Machine Learning in Finance
- Overview of AI and ML applications in the financial industry.
- Categories of machine learning (supervised, unsupervised, reinforcement learning).
- Case studies covering fraud detection, credit scoring, and risk modelling.
Python Fundamentals and Data Handling
- Leveraging Python for data manipulation and analysis.
- Analysing financial datasets with Pandas and NumPy.
- Data visualisation using Matplotlib and Seaborn.
Supervised Learning for Financial Forecasting
- Linear and logistic regression techniques.
- Decision trees and random forests.
- Assessing model performance via accuracy, precision, recall, and AUC.
Unsupervised Learning and Anomaly Detection
- Clustering methods (K-means, DBSCAN).
- Principal Component Analysis (PCA).
- Identifying outliers for fraud prevention.
Credit Scoring and Risk Modelling
- Creating credit scoring models using logistic regression and tree-based algorithms.
- Managing imbalanced datasets in risk-focused applications.
- Ensuring model interpretability and fairness in financial decision-making.
Fraud Detection via Machine Learning
- Common typologies of financial fraud.
- Applying classification algorithms for anomaly detection.
- Real-time scoring and deployment strategies.
Model Deployment and Ethics in Financial AI
- Deploying models using Python, Flask, or cloud platforms.
- Ethical considerations and regulatory compliance (e.g., GDPR, explainability).
- Monitoring and retraining models in production environments.
Summary and Future Steps
Requirements
- A solid understanding of basic statistics and financial principles.
- Proficiency with Excel or other data analysis tools.
- Foundational programming knowledge, ideally in Python.
Target Audience
- Financial analysts.
- Actuaries.
- Risk officers.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 4800 € + VAT*
Contact us for an exact quote and to hear our latest promotions
Testimonials (5)
Possible applications /exercises
Estelle De la Fouchardiere - Advanced Bionics AG
Course - Machine Learning & AI for Finance Professionals
I really enjoyed seeing how using this tool can really improve and automate work. I also appreciated the initial part where we were helped to eliminate our prejudice against artificial intelligence. The examples are wonderful.
chiara di egidio - Advanced Bionics AG
Course - Machine Learning & AI for Finance Professionals
I liked to get knowledge about new possibilities
Maciej Karolczak - Advanced Bionics AG
Course - Machine Learning & AI for Finance Professionals
I like the examples, so we have an idea of what is possible
Deborah Highes
Course - Machine Learning & AI for Finance Professionals
it has opened my mind to new tool that can help me in creating automation
