Harness the power of AI in finance

This program is specifically designed to bridge the gap between traditional financial theory and modern machine learning applications.

Course Objectives

The program aims to move participants from AI conceptualization to practical implementation. Key objectives include:

• Mastering AI Foundations: Distinguishing between supervised, unsupervised, and generative AI (LLMs) within a financial context.

• Hands-on Financial Modeling: Using Python and TensorFlow to build predictive models for stock returns and credit risk.

• Process Automation: Learning to use APIs (like OpenAI) to automate financial data extraction and unstructured document analysis.

• Strategic Risk Management: Developing frameworks for AI governance, detecting fraud with anomaly detection, and addressing algorithmic bias.

• Optimizing Portfolios: Applying simulation techniques to improve asset allocation and workforce planning.

Who Should Attend?

This course is tailored for professionals who need to quantify the impact of AI on their bottom line:

• Investment & Analysis: IB Analysts, Portfolio Managers, Hedge Fund Analysts, and Equity Researchers.

• Risk & Compliance: Risk Analysts, Fraud Detection Specialists, and Compliance Officers.

• Corporate Finance: FP&A Analysts, Treasury Professionals, and CFOs looking to modernize reporting.

• FinTech & Tech: Software Engineers and Data Scientists working specifically within the financial services sector.