The Executive Program in Financial Analytics and AI is a practice-oriented program designed for finance professionals aiming to succeed in a data driven environment. It combines core financial principles with modern analytics and AI tools, enabling participants to transform complex data into actionable business insights.

Blends financial theory with Analytics, Machine Learning, and AI applications
Focuses on hands-on learning in Financial Modeling, Forecasting, and Scenario Analysis
Builds capabilities to evaluate Firm Performance and support decision making
Develops AI capability through use cases in Forecasting, Credit Risk, and Fraud Detection, along with NLP-based insights
Exposure to Prompt Engineering and AI-assisted tools to enhance productivity
Builds capabilities in Portfolio and Risk analytics to support portfolio evaluation, risk assessment, and investment decision-making
Provides exposure to Anti-Money Laundering (AML) frameworks, transaction monitoring, risk indicators, and analytics-driven compliance methodologies

PROGRAM HIGHLIGHTS:

Prestige of IIM Learning Experience: Earn credentials from a primer management institute and strengthen your professional credibility.
Professional Growth: Enhance your profile for high-growth roles in finance, consulting, fintech and analytics.
Hands-on capability to use AI and associated tools: Stay updated with AI, Machine Learning, and
advanced Financial Modeling techniques.
IIM Kashipur Executive Alumni Status: Join the prestigious alumni community and expand your professional horizons.
Future- Ready Skillset: Develop industry-grade capability in Financial Analytics, AI, and data-driven decision making
Industry - Relevant Curriculum: Learn through practical applications, industry case studies, and hands-on tools.

Desired Candidate Profile

For Indian Participants - Graduates from a recognized University (UGC/AICTE/DEC/AIU /State Government) in any discipline with Mathematics/Statistics up to 10+2 level
For International Participants - Graduation or equivalent degree from any recognized University or Institution in their respective country

Course Modules

PROGRAM CONTENTS

Primers

Foundation of Financial Modelling
NCFM Pro Data Analytics & BI
NCFM Pro Enterprise Risk Management (ERM)
Certificate in Advanced Excel
Credit Risk Management

Module 1: Foundations of Financial Analytics

Financial data ecosystems
KPIs across industries
Analytical thinking in finance
Data-driven decision frameworks

Module 2: Fundamentals of Statistics

Descriptive Analysis
Inferential Analysis
Application of Linear & Logistic Regression in Finance
Automation with Python for Reports

Module 3: Data Analytics & Visualization

Data cleaning & transformation
EDA for financial datasets
Dashboarding using Power BI
Visualization
Hands-on: Build a Power BI dashboard

Module 4: Financial Modeling

3-statement integrated modeling
Forecasting technique
Scenario & sensitivity analysis
Hands-on: Analysing the firm's performance from financial statement analysis

Module 5: Advanced Financial & Portfolio Analytics

Introduction to fixed Income Analytics
Estimation of Duration, Convexity
Valuation of Forward, Futures, Swaps
Black-Scholes Option Pricing Model
Time series forecasting
ARIMA, ARCH, GARCH, LSTM, Exponential smoothing for stock price forecasting
Monte Carlo simulations
Portfolio Optimization
Portfolio Rebalancing
Portfolio risk-return analytics
Valuation analytics
News Analytics
- Text Mining, Word Cloud
- Sentiment Analysis

Module 6: Risk Analytics

Market risk Analytics
Credit Risk (PD, LGD, EAD Models)
Liquidity Risk
Operational Risk
Risk governance frameworks
Regulatory capital (Based overview)
Risk reporting & supervision
Introduction to Enterprise Risk Management (ERM)
Hands-on: Credit risk scoring model, VaR simulation, stress testing dashboard

Module 7: AI Applications & Tools for Financial Analysts