AI in Finance & FinTech

Evolution of AI in the financial sector

Key FinTech innovations powered by AI

Regulatory overview (e.g., GDPR, PSD2, Open Banking)

Types of financial data: time series, transactions, market data

Cleaning and normalizing data for modeling

Handling missing data and outliers in financial contexts

Credit risk modeling using supervised learning

Loan default prediction and scorecard models

Applications in insurance and underwriting

Anomaly detection techniques (Isolation Forest, Autoencoders)

Real-time fraud monitoring systems

Behavioral pattern recognition in transactions

Basics of quantitative trading strategies

Predicting stock prices with LSTM and XGBoost

Backtesting trading algorithms and portfolio simulation

Traditional vs AI-based credit scoring

Using NLP for processing loan applications

Building credit risk models with fairness considerations

How robo-advisors work (rules-based and ML-driven)

Portfolio optimization with AI

Personal financial planning tools

Extracting insights from financial news and reports

Sentiment analysis on earnings calls and stock mentions

Chatbots and virtual agents in banking

Regulatory compliance and explainable AI

Fair lending, algorithmic bias, and transparency

AI governance in financial institutions

Choose a project such as:

Building a credit scoring model

Developing a stock price prediction tool

Designing a fraud detection dashboard

Project presentation and peer evaluation

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