Executive Program

Financial Analytics & AI

Weekend Sessions Weekend Sessions
Live-Online Live-Online
6 Months 6 Months
International Knowledge Partners
Deloitte
Financial Modeling Institute
IIM Kashipur

ABOUT IIM KASHIPUR

The Indian Institute of Management Kashipur (IIM Kashipur) is a second-generation IIM set up by the Government of India in 2011. It aspires to achieve excellence in management education by using innovative teaching methods, promoting high-quality research, and practicing sustainable leadership. The institute strives to create and disseminate knowledge through applied and interdisciplinary research and practices in emerging areas of management. The institute develops socially conscious, competent, and ethical business leaders and researchers capable of critical thinking, innovation, and entrepreneurship while being inclusive and focusing on both regional development and internationalization. Celebrating ten years of serving education, the institute is ranked,

Rank 23
NIRF Ranking 2025*

AI in finance is moving from adoption to advantage

70%

improvement in decision-making quality

64%

improvement in forecast accuracy through AI- enabled analytics

Source: 2026 KPMG Global AI in Finance Report
60%
of executives now regularly use AI to support their decisions

In today’s data-driven economy, the convergence of finance, analytics, and AI is reshaping decision-making across industries. This program is designed for ambitious professionals who seek to stay ahead of the curve and drive impactful business outcomes.

ABOUT THE PROGRAM

The Executive Program in Financial Analytics and AI is a practice-oriented course 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
  • Explores AI use cases in forecasting, credit risk, and fraud detection, along with NLP-based insights
  • Introduces 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
AI Financial Analytics

Program Highlights

Future-Ready Skillset

Future- Ready Skillset

Gain in-demand expertise in financial Analytics, AI, and data-driven decision making.

Career Acceleration

Career Acceleration

Enhance your profile for high-growth roles in finance, consulting, fintech and analytics.

images/Industry-Relevant Curriculum

Industry - Relevant Curriculum

Learn through practical applications, real world case studies, and hands-on tools.

Prestige of IIM Learning Experience

Prestige of IIM Learning Experience

Earn credentials from a primer management institute and strengthen your professional credibility.

Exposure to Emerging Technologies

Exposure to Emerging Technologies

Stay updated with AI, machine learning, and advanced financial modeling techniques.

Executive Alumni Status

Executive Alumni Status

Join the prestigious alumni community and expand your professional horizons.



WHO IS THIS PROGRAM FOR

This program is designed for working professionals who want to move beyond traditional finance roles and build strong capabilities in analytics, data-driven decision-making, and AI applications in finance.

  • Banking & Financial Services Executives aiming to leverage AI and analytics to enhance customer insight, risk management, and operational efficiency
  • Risk & Compliance Professionals looking to use AI-driven analytics to strengthen fraud detection, regulatory monitoring, and risk assessment
  • Data & Business Analysts in Finance keen in developing analytical and AI skills to generate actionable financial insights and business intelligence
  • Professionals Transitioning to Analytics Roles and bridge finance knowledge with AI and analytics skills to move into high-growth analytics careers
  • Finance Academicians aiming to stay aligned with evolving financial technologies and deliver industry-focused learning experiences
Program For

Program Director

Dr Dilip Kumar
Dr Dilip Kumar
PhD in Finance Chartered
Financial Analyst 16+ Years of
Teaching & Research
Experience

Dr. Dilip Kumar, a distinguished faculty member at Indian Institute of Management Kashipur, is recognized for his impactful contributions to management education and academic leadership in the area of Finance and Accounting. As Program Director, he has played a pivotal role in designing industry-relevant curriculum that bridges theory and practice. With a strong research portfolio and significant academic influence, Dr. Kumar brings deep expertise and analytical insight into the classroom. His commitment to academic excellence, mentorship, and innovation in pedagogy makes him a powerful force in driving program success.

Dr. Dilip, holds a doctorate in Finance from the Institute for Financial Management and Research (IFMR), Chennai. At IIM Kashipur, he leads and delivers various executive education programs on risk management and financial analytics.

His research interest includes risk management, systemic risk modelling, volatility estimation and volatility modelling, and ESG aspect of business. His teaching interests include financial analytics, risk management, financial derivatives and corporate finance.

PROGRAM CONTENTS

Primers +
  • Foundation of Financial Modelling | FMI
  • NCFM Pro Data Analytics & BI | NAL
  • Credit Risk Management | Deloitte
  • Certificate in Advanced Excel | NAL
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 +
  • AI tools used in Forecasting, Credit Modelling, Fraud detection
  • NPL for financial Reports
  • Additional Tools: Python basics, Power BI AI Visuals, Excel AI
  • Prompt engineering
🏆
Hands-on: Predictive financial models · AI-Driven insights generation
Module 8: AML for finance +
  • Core AML Frameworks
  • Fraud detection patterns
  • Intermediary risks
  • Analytics in AML
  • Rule-based vs AI-based monitoring
  • Red flag indicators
  • Case management systems
  • Case Study: Real-world AML failure and penalties
Financial Analyst

ELIGIBILITY CRITERIA

  • 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

EXAMINATION AND PASSING CRITERIA

Certificate of Completion (CoC)

(a.) A minimum of 60% attendance is required to qualify for CoC

(b.) Score minimum 50% marks overall in

  • Quizzes
  • Assignments
  • Project Work/ Final Examination

Certificate of Participation (CoP)

Participants will receive CoP if the criteria for CoC is not fulfilled

Participants
PROGRAM FEES
1,40,000
+GST

Reserve your spot today!

For more Information, Contact

Kuldeep Sajwan
ksajwan@nse.co.in
+91 86556 47411

About NAL Academy

NAL Academy Limited (formerly known as NSE Academy Limited) is a subsidiary of the National Stock Exchange of India Ltd. NAL Academy enables the next generation of BFSI and FinTech professionals with industry-aligned skills – through capacity building programs and certification courses, powered by an online examination and certification system. The courses are well-researched and carefully crafted with inputs from the industry professional. NAL Academy works closely with reputed universities and institutions across India in building a competent workforce for the future of BFSI and FinTech. NAL Academy also promotes financial literacy as an essential life skill among youngsters – a contribution towards financial inclusion and wellbeing.

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