ISB Executive Education Certification | 6 Months Programme | Live Interactive Session | Applications Open

Limited Seats Available


Gear up to Lead the Digital Innovation in Finance

  • Make strategic decisions rooted in sound financial policies
  • Build predictive models that drive the organization’s market leadership
  • Provide data-backed actionable insights for key decision making
  • Apply digital technologies to create efficiency and value in finance processes

2021 mandate for finance leaders: Accelerate growth and digital models, restore financial health.1

The technologies needed to reimagine finance are here and they will only get better. It’s crunch time.2

Cutting Edge Learning from the Leaders

  • The ISB Advantage
    Leverage the world-class research expertise of ISB and access alumni privileges of ISB Executive Network
  • Learn from Prof. Bhagwan Chowdhry
    Taught by a top faculty group led by Prof. Bhagwan Chowdhry, Researcher, Author and a Thought Leader
  • Real-world Curriculum
    Hone your capabilities as a multi-dimensional thinker and a strategic financial leader
  • Fast-track Growth
    Master the ability for strategic steering, financial governance, and performance insights.

The ISB Advantage

*ISB’s PGP Programme has been ranked #1 in India by The Financial Times Global MBA Rankings 2021

**ISB’s PGP Programme has been ranked #23 worldwide in the Financial Times Global MBA Rankings 2021


Established in 2001, the Indian School of Business (ISB) evolved from the need for a world-class business school in Asia. Through its multi-pronged and holistic approach, the institution grooms individuals who can script new growth narratives across sectors.

ISB is a not-for-profit organisation, funded entirely by private corporations, foundations and individuals worldwide who believed in its vision. The institution has gained a unique distinction of receiving accreditation from the Association of MBAs (AMBA), making it the 100th School in the world to achieve the ‘triple crown’ of accreditations from AMBA, EFMD Quality Improvement System (EQUIS), and the Association to Advance Collegiate Schools of Business (AACSB).

ISB provides a robust environment that generates high-quality research which is both contemporary and rigorous. It offers a plethora of programs distinctively designed to cater to the needs of various knowledge seekers at different levels of experience and career paths.

The Leadership and Digital Innovation in Finance Programme will be delivered by the Centre of Executive Education at ISB.

For more information, visit ISB Executive Education Website.

Learn from Accomplished Academia
and Industry Leaders

Taught by an eminent ISB Faculty Group led by Professor Bhagwan Chowdhry, a globally recognized groundbreaking Researcher, Author and Thought Leader.

  • Programme Director
    Prof. Bhagwan Chowdhry Professor, ISB and Research Professor, UCLA Anderson
    School of Management

    A Professor of Finance at the Indian School of Business (ISB) and a Research Professor at the UCLA Anderson School of Management. He also serves as the Executive Director of the Digital Identity Research Initiative (DIRI). He famously proposed the Financial Access at Birth - a policy initiative that aims to place $100 in electronic savings account for every child born in the world, guaranteeing access to financial services to everyone in a few decades. He is also a frequent contributor to the Huffington Post. His research interests include International Finance, Corporate Finance and Strategy, Microfinance, FinTech and Impact Investing.

  • Prof. Hariom Tatsat Vice President, Barclays Investment Bank

    Vice President for Quantitative Analytics division at Barclays Investment Bank, New York. Hariom has 10+ years of experience working across areas including Predictive Modelling, Machine Learning and Financial Derivative Pricing in leading global investment banks and financial organizations, including Nomura, Royal Bank of Scotland, First Abu Dhabi Bank and Genpact. He is also the co-author of "Machine Learning and Data Science Blueprints for Finance", ranked #1 on Amazon under the AI (new releases) category in Jan 2021.

  • Prof. Anupam Purwar Research Scientist, Amazon

    An ISB Alumni and former Director, Operations and Sustainability Council at ISB, Anupam is a Research Scientist at Amazon. Besides Amazon and ISB, Anupam has also worked as Research Scientist at BrahMos Aerospace and IISc. His expertise spans Data Analytics, Machine Learning, Strategic Planning, Project Management, Industrial design, Product Development and Operations. A major highlight of his career includes working as a Data Scientist for investigating Wilful Default using NLP with Prof. Subramanian, Current Chief Economic Advisor to the Government of India.

  • Prof. Sanjiv Das Professor, Santa Clara University

    A William and Janice Terry Professor of Finance at Santa Clara University's Leavey School of Business. He previously held faculty appointments as Associate Professor at Harvard Business School and UC Berkeley and is also a qualified Cost and Works Accountant. Prior to joining academics, he worked in the derivatives business in the Asia-Pacific region as a Vice-President at Citibank. His current research interests include Modeling of Default Risk, Machine Learning, Social Networks, Derivatives Pricing Models, Portfolio Theory, and Venture Capital.

The Future of Finance

Insights by Industry Leaders and Academic Experts

High Impact Format Designed and Perfected
for the Leaders

  • 6 Month Executive
    Friendly Programme

  • 2 Days Visit to
    ISB campus

  • Live Interactive Sessions by
    ISB Faculty and Industry Experts

  • Best-in-class Self-learning Content,
    Group Projects and Case Studies

Classes will start on May 7, 2022.

The programme will be delivered on TalentSprint’s digital platform ipearl.ai


Programme Coverage

Preparing the Future-Ready Leaders

  • Understanding Value Drivers, Forecasting Cash Flows, Managing Risks, Learning from Experience, Learning from Data

Summarizing Data

  • Mean (What is the average?), Variance (How much is the deviation from the average?), Co-Variance and Regression (Do two things tend to move together?), Why are there only a few Einsteins? (Normal Distributions), Why are there only a few large cities but many small cities? (Power-Law Distributions)

Finance Fundamentals

  • Markets, Competition and Arbitrage: The Present Value Framework, How can I induce you to take more risks? - Risk and Return Sharing Risks with Others: Beta and the Capital Asset Pricing Model (CAPM), Discounting the Future but Valuing it too: The Discounted Cash Flow (DCF) model

Language of Life is written in a Code

  • Python Fundamentals: Reading dataset, plotting, for, while, if-else, case, functions, variables, data structure types, operators, basic arithmetic, input/output, Visualizing Data (A picture is worth a thousand words, but a good picture can tell a compelling story)

Blockchain, Bitcoin, Central Bank Digital Currencies (CBDC), Non-Fungible Tokens (NFT)

  • Applications in Data Security, Official Records, Law, Payments, Digital Assets

Finding Hidden Patterns in Data

  • Machine Learning for Finance: Stock Price Prediction, Derivatives (Assets whose value is contingent on other fundamentals) Pricing, Yield-Curve (Interest Rates) Prediction

Algorithmic Trading

  • Theory & Historic Significance, Bitcoin Trading Strategy using Classification, Bitcoin Trading - Dimensionality Reduction to Enhance Speed and Accuracy, Reinforcement Learning based Trading Strategy

Fraud Detection & Bankruptcy

  • Theory & Historic Significance, Fraud Detection using Classification, Loan Default Probability using Classification

Finding Deeply Buried Patterns in Data

  • Deep Learning for Finance: Basic Concepts, Some Necessary Finer Points, Applications: Option Pricing, Trading, Fraud Detection

Natural Language Processing for Finance 1

  • Basic ideas, string handling, creating finance dictionaries, word-based scoring, web-scraping, Text transformations: punctuation, numbers, stemming, stopwords, making a corpus, term-document matrix

Natural Language Processing for Finance 2

  • Word embeddings, text representations, topic modelling, t-SNE, Multimodal (text + tabular) Machine Learning using Amazon Cloud Infrastructure, Application to Credit Risk Modeling

Natural Language Processing for Finance 3

  • Understanding and Using Transformer Models, Applications in Finance to Sentiment Analysis, Tweets Classification, Cryptocurrency News Classification, Natural Language Generation

Wealth Management

  • Portfolio Optimization, Goals-Based Wealth Management

Robo-Advisors

  • Theory, Incorporating Investor Risk Tolerance using Supervised Regression, Robo-Advisor Dashboard-powered by Machine Learning (ML), Portfolio Management - Eigen Portfolio using Dimensionality Reduction

Interconnected Systems and Network Analysis

  • Banks, Venture Capitalists, Network Models in Finance: Graph Theory (GT) and Graph Types, Using NetworkX in Python, Financial Applications, Shiny Application Creation

Customer Segmentation

  • Customer Segmentation & Types, Customer Segmentation using RFM Analysis, Customer Segmentation using Clustering Silhouette Analysis for KMeans Clustering, Visualizing Clusters using Plotly

Saving Models in the Cloud and Cloud Computing

  • Theory and Introduction to AWS (Amazon Web Services), Data Pipeline Creation: AWS S3 (Storage-Retrieve) and SQL (MS, Oracle), Model Deployment in Cloud Environment: Containerization & EC2, Model Scaling using Cloud Computing: ECS Fargate & Configuration files .yaml, Version Control using Git: Commit code to Git & Create Git Profile

Languages and Tools

Languages

Applicant Profile

From Diverse Job Roles

Manager
Director
CFO
AVP
Partner
Founder
VP Finance
VP
Senior Manager
SVP
CEO
Associate Director

From Top Organizations

Acer
TCS
Darwinbox
Tata Housing
Wipro
Genpact
Levi Strauss & Co.
Asian Paint
SBI
Yes Bank
Max Life Insurance
E&Y
IBM
United Airlines
Siemens
Nokia
Accenture
ICICI Bank
Barclays
Wells Fargo
Verizon
KPMG
HSBC
Bank of Baroda
Zomato
Volkswagen
Vodafone
Uber
Tata Motors
Reliance Jio
PwC
Oracle
NTT Data
Myntra
Mindtree
Max insurance
Hindu
HDFC Bank
Ford Motors Company
Flipkart
Deloitte
DBS Bank
Cisco
Abbott
More...

From Indian and Global Locations

Mumbai
Hyderabad
Bengaluru
Delhi
Gurgaon
Chennai
Pune
Kolkata
Noida
Faridabad
Nagpur
Jaipur
Ahmedabad
Visakhapatnam
Vijayawada
Chandigarh
Ghaziabad
Bhopal
Warangal
Tirupati
Surat
Patna
Mysore
Mangalore
Lucknow
Kerala
Kanpur
Indore
Dubai
Bangladesh

Find out why professionals want to join the programme

  • "The programme will help me to build the necessary micro and macro-level aspects to successfully lead a profitable company."
    ~ Professional from CA Technologies with 15+ Years Experience
  • "The programme will enhance my critical thinking and general management skills to achieve the desired leadership role."
    ~ Professional from Aragen Life Sciences with 10 - 15 Years Experience
  • "This programme looks promising in terms of preparing me for a future where technology plays a critical role in every industry."
    ~ Professional from Aakash Educational Services Limited with 5 - 10 Years Experience
  • "To build expertise in data analytics and use modern digital technologies to improve finance systems and processes."
    ~ Professional from Bureau Veritas Consumer Products Service Pvt Ltd with 15+ Years Experience
  • "To excel in the finance domain by adding value to the organization’s processes and contributing to the profitability, challenging the status quo, and being future-ready."
    ~ Professional from Accenture with 15+ Years Experience

Fuel Your Professional and Organisational Growth

Career Advancement

  • Integrate your financial acumen
    with digital strategy
  • Ride the wave of
    digital disruption
  • Become a credible internal advisor
    and key decision-maker

Organisational Transformation

  • Plan for long-term value across
    business functions
  • Elevate the quality of
    decision-making
  • Collaborate and create opportunities
    with leadership teams

Eligibility

Ideal for

  • Corporate Finance Professionals and Management Consultants
  • Tech Professionals working in the area of Banking and Financial Services
  • Financial Services Professionals working in Banks and Financial Institutions

Experience: Any finance graduate or a tech professional working in BFSI with at least 5 years of experience


Enrolment Process

  • Application

    Apply for the
    Programme

  • Block Your Seat

    Submit
    Documents*

  • Enrollment

    Selection by
    ISB Committee**

  • Enrollment

    Join the
    Programme

*Scanned copies to be submitted within 7 days  
a Education Certificate  
b Experience Letter/Latest Pay Slip

**Selection for the programme will be done by ISB and is strictly based on the education, work experience, and motivation of the participants.


Fee

Fee

Details Domestic Participants International Participants
Programme Fee ₹5,00,000 USD 7,500

EMI options availableSpecial Corporate Enrolment Pricing availableGST as applicable


About TalentSprint

  • 10 Years of
    Excellence
  • 200K Empowered
    Professionals
  • 95% Completion
    Rate
  • 85 Net Promoter
    Score

TalentSprint, a National Stock Exchange (NSE) Group Company, brings transformational high-end and deep-tech learning programs to emerging and experienced professionals in partnership with top academic institutions and global corporations. Its award-winning digital learning AI-powered platform enables a perfect blend of high-end academics and industry-leading practitioner experience. Its programs have consistently seen a high engagement rate and customer delight. For more information, visit www.talentsprint.com


Programme Media Coverage


FAQ

Frequently Asked Questions

The programme is ideal for:

  • Corporate Finance Professionals and Management Consultants
  • Tech Professionals working in the area of Banking and Financial Services
  • Financial Services Professionals working in Banks and Financial Institutions

Experience: Any finance graduate or a tech professional working in BFSI with at least 5 years of experience

The programme will be taught by a top ISB Faculty Group led by Prof. Bhagwan Chowdhry, a globally recognized groundbreaking Researcher, Author and Thought Leader.

Meet the Faculty