Certificate Program in AI for Risk Management (CPAIRM)
- Offered byIndian Institute of Quantitative Finance
Certificate Program in AI for Risk Management (CPAIRM) at Indian Institute of Quantitative Finance Overview
Duration | 3 months |
Start from | 1st Mar'25 |
Total fee | ₹68,000 |
Mode of learning | Online |
Official Website | Go to Website |
Credential | Certificate |
Certificate Program in AI for Risk Management (CPAIRM) at Indian Institute of Quantitative Finance Highlights
- Earn a certificate after completion of course from Indian Institute of Quantitative Finance
Certificate Program in AI for Risk Management (CPAIRM) at Indian Institute of Quantitative Finance Course details
Professionals responsible for identifying, assessing, and mitigating financial risks within organizations who seek to enhance their strategies with AI techniques
Individuals in regulatory roles looking to understand how AI can be applied to improve compliance monitoring and reporting
Cover the AI & ML based models & analytics products for risk management sub-domains
Coverage of quantitative risk modelling use of AI & ML techniques & algorithms within BFSI & Fintech space
AI & ML adoption considerations, challenges & cautions - regulatory, policy, legal, compliance and ethical
Deliver know-how on BFSI risk management use-cases & applications across
The Certificate Program in AI for Risk Management (CPAIRM) is designed to equip participants with the knowledge and skills necessary to leverage artificial intelligence and machine learning techniques in the identification, assessment, and management of financial risks
This program combines theoretical foundations with practical applications, enabling professionals to enhance their risk management strategies in a rapidly evolving financial landscape
Program Schedule
Saturdays and Sundays
Program Timing
4:00 PM to 8:00 PM IST (UTC +5:30)
Certificate Program in AI for Risk Management (CPAIRM) at Indian Institute of Quantitative Finance Curriculum
AI & ML for Portfolio Risk
Portfolio Segmentation
Portfolio Diversification or Concentrations
Portfolio Optimization
Risk Decomposition & Attribution
Stress Testing
Scenario Analysis
AI & ML for Credit Risk
Default Risk - Probability of Default Prediction
Recovery Risk - Loss Given Default Prediction
Exposure Risk - Exposure At Default Prediction
AI & ML for Market Risk
Time Series & Sequential Learning Problems
Stock Price or Index Forecasting
Forex Rates Forecasting
Volatility Forecasting
Loss or Value at Risk (VaR) Forecasting
Market Sentiment Indicators
AI & ML for Fraud Risk
Anomaly Detection
Outlier Diagnostics
Fraud Analytics
Forensic Data Science