Course Outline
Introduction to Machine Learning in Finance
- The role of AI and ML within the financial industry
- Classes of machine learning (supervised, unsupervised, and reinforcement learning)
- Real-world examples involving fraud detection, credit scoring, and risk modelling
Python and Data Manipulation Fundamentals
- Employing Python for data processing and analysis
- Examining financial datasets using Pandas and NumPy
- Visualising data with Matplotlib and Seaborn
Supervised Learning for Financial Forecasting
- Linear and logistic regression techniques
- Decision trees and random forest algorithms
- Assessing model performance via accuracy, precision, recall, and AUC
Unsupervised Learning and Anomaly Identification
- Clustering methods (K-means, DBSCAN)
- Application of Principal Component Analysis (PCA)
- Detecting outliers for fraud prevention purposes
Credit Scoring and Risk Modelling
- Creating credit scoring models with logistic regression and tree-based algorithms
- Managing imbalanced datasets in risk assessment scenarios
- Ensuring model interpretability and fairness in financial decisions
Fraud Detection through Machine Learning
- Prevalent forms of financial fraud
- Applying classification algorithms for anomaly detection
- Strategies for real-time scoring and deployment
Model Deployment and Ethical AI in Finance
- Deploying models via Python, Flask, or cloud-based platforms
- Ethical considerations and adherence to regulatory standards (e.g., GDPR, model explainability)
- Monitoring and retraining models within live production systems
Conclusion and Future Directions
Requirements
- Familiarity with fundamental statistics and financial principles
- Practical experience with Excel or similar data analysis tools
- Foundational programming skills, 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 3900 € + 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
