Program Overview
This cutting-edge program bridges artificial intelligence and financial risk management, providing finance professionals with practical skills to leverage AI in risk assessment, fraud detection, and financial decision-making. Through a combination of theoretical foundations and hands-on exercises, participants will gain actionable insights into AI applications in finance.
Why Attend?
- Master AI techniques for financial risk modeling
- Learn to implement machine learning for credit scoring and fraud detection
- Understand regulatory implications of AI in finance
- Gain practical skills with financial datasets and AI tools
Who Should Attend?
- Risk Managers
- Financial Analysts
- Banking Professionals
- Investment Managers
- FinTech Professionals
- Regulatory Compliance Officers
- Data Scientists in Finance
- Finance Academics
Key Highlights
- AI in Risk Assessment - Credit risk, market risk, and operational risk models
- Fraud Detection Systems - Anomaly detection with machine learning
- Algorithmic Trading - AI strategies for financial markets
- Regulatory Technology - AI for compliance monitoring
- Explainable AI - Interpreting AI decisions for regulators
- Case Studies - Real-world implementations in banking and insurance
- Hands-on Labs - Working with financial datasets
- Certificate of Completion - Professional credential
Program Schedule: AI in Finance and Risk Management
8th December 2025 – 12th December 2025
Day 1: Monday, 8th December 2025 - Foundations of AI in Finance
- 10:00 AM – 11:30 AM: Introduction to AI Applications in Financial Services
- 11:30 AM – 11:45 AM: Coffee Break
- 11:45 AM – 01:15 PM: Financial Data Structures and Characteristics
- 01:15 PM – 02:15 PM: Lunch Break
- 02:15 PM – 03:45 PM: Data Preprocessing Techniques for Financial Models
- 03:45 PM – 04:00 PM: Short Break
- 04:00 PM – 05:30 PM: Lab: Financial Data Cleaning and Feature Engineering
Day 2: Tuesday, 9th December 2025 - Risk Modeling Techniques
- 10:00 AM – 11:30 AM: Machine Learning for Credit Risk Assessment
- 11:30 AM – 11:45 AM: Coffee Break
- 11:45 AM – 01:15 PM: Advanced Market Risk Prediction Models
- 01:15 PM – 02:15 PM: Lunch Break
- 02:15 PM – 03:45 PM: Ensemble Methods for Risk Prediction
- 03:45 PM – 04:00 PM: Short Break
- 04:00 PM – 05:30 PM: Lab: Building and Evaluating Risk Models
Day 3: Wednesday, 10th December 2025 - Fraud Detection & AML
- 10:00 AM – 11:30 AM: AI-Powered Fraud Detection Systems
- 11:30 AM – 11:45 AM: Coffee Break
- 11:45 AM – 01:15 PM: Network Analysis for Money Laundering Detection
- 01:15 PM – 02:15 PM: Lunch Break
- 02:15 PM – 03:45 PM: Real-time Anomaly Detection in Transactions
- 03:45 PM – 04:00 PM: Short Break
- 04:00 PM – 05:30 PM: Lab: Implementing Fraud Detection Algorithms
Day 4: Thursday, 11th December 2025 - Trading & Portfolio Management
- 10:00 AM – 11:30 AM: Deep Learning for Algorithmic Trading
- 11:30 AM – 11:45 AM: Coffee Break
- 11:45 AM – 01:15 PM: Reinforcement Learning in Portfolio Optimization
- 01:15 PM – 02:15 PM: Lunch Break
- 02:15 PM – 03:45 PM: Risk-Adjusted Return Maximization Strategies
- 03:45 PM – 04:00 PM: Short Break
- 04:00 PM – 05:30 PM: Lab: Backtesting Trading Strategies with Python
Day 5: Friday, 12th December 2025 - Compliance & Implementation
- 10:00 AM – 11:30 AM: Explainable AI for Financial Regulations
- 11:30 AM – 11:45 AM: Coffee Break
- 11:45 AM – 01:15 PM: Model Risk Management and Validation
- 01:15 PM – 02:15 PM: Lunch Break
- 02:15 PM – 03:45 PM: Case Study: AI Implementation in Banks
- 03:45 PM – 04:00 PM: Short Break
- 04:00 PM – 05:30 PM: Final Project Presentations and Certification
All sessions include hands-on labs using Python with financial libraries (Pandas, NumPy, Scikit-learn, TensorFlow). Participants should bring laptops with required software pre-installed. Coffee and lunch will be provided.
Meet Your Program Director
Prof. (Dr.) Brajesh Kumar
Professor of Economics | Data Scientist | GST Expert | Program Director, MBA (Financial Management) | Data Scientist | Machine Learning Architect | Computational Econometrician | Chief Editor, NIFM Journal of Public Financial ManagementProf. (Dr.) Brajesh Kumar, a distinguished academician with ~28 years of experience, serves as Professor of Economics and Program Director (MBA-FM) at AJNIFM. He holds advanced degrees in Economics, Business Analytics, and Computer Applications, and is a certified Lean Six Sigma Black Belt. His expertise spans GST, data science, machine learning, and computational econometrics.
A prolific trainer and consultant, Dr. Kumar has led 220+ MDPs, advised government bodies on taxation and finance, and contributed to national and international research projects. He has represented India at global academic forums and developed digital governance tools using PHP, MySQL, and AI-based analytics.
"This program provided exactly the practical knowledge I needed to implement AI solutions in our risk management department. The balance between financial theory and technical implementation was perfect for finance professionals looking to adopt AI."
Program Details
Dates: 8th December 2025 – 12th December 2025
Duration: 5 Days | 30 Hours of Intensive Training
Mode: Online (Live Interactive Sessions)
Platform: Google Meet (Link provided after registration)
Program Director: Prof. (Dr.) Brajesh Kumar
Fees: ₹23,000 per participant
Includes course materials, lab access, and certificate
Group discounts available for 3+ participants
Status: Open for Registration
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Fee: ₹23,000
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