About Program

The course blends finance, statistics, and analytics to equip the participants with the required skill sets in analyzing financial data. Participants will learn why, when, and how to apply statistical models on financial data to take real time day to day decisions in financial markets. By the end of this course, the participants should be able to build and use successful models using analytics in domains like accounting, trading, forecasting, risk management, portfolio management etc.

To provide a conceptual understanding of financial analytical techniques

To illustrate the application of statistical tools and models in analyzing financial data

6 Months of immersive learning from experienced faculty / professionals of XLRI & other Institutions/ firms

Industry aligned curriculum to teach intersection across finance, analytics and technology.

Class discussions, cases, hands-on-projects, interactive & engaging sessions to clear doubts

D2D Live interactive classes on Weekends

Certificate issued by XLRI & NSE Academy

Program Objectives

Understanding Financial Concepts

Enhancing the understanding of financial markets, instruments, and concepts, enabling students to contextualize their data analysis within the finance domain.

Data Collection and Preparation

Learn methods for collecting relevant financial data from various sources and preparing the data for analysis. This involves cleaning, transforming, and structuring the data.

Statistical Analysis

Develop expertise in statistical methods used in financial analysis, including descriptive statistics, regression analysis, and time series analysis. Understand how these techniques apply to financial datasets.

Use-Cases

Get exposure to various financial decisions through use-cases like stock markets, credit risk, portfolio management, etc.

Machine Learning Techniques

Explore machine learning algorithms, such as regression, classification, clustering, and deep learning. Understand how these algorithms can be applied to predict stock prices, customer behavior, fraud detection, and other financial scenarios.

Communication and Visualization

Learn how to effectively communicate findings and insights derived from financial data analysis. Develop skills in data visualization to present complex information in an understandable manner.

  Why do professionals aspire to learn Fintech and Analytics?  

Unparalleled Demand

Fintech professionals are in demand globally, and India is a key player in this rapidly growing sector, passing through digital transformation revolution.

Specialized Skills

Acquire in-demand specialized skills valued by financial institutions, fintech startups, core IT sector, manufacturing and consulting firms among others.

Diverse Career Opportunities

Professionals can pursue diverse career paths, ranging from BFSI and NBFC companies to agile startups and across the IT, manufacturing and service sectors.

Competitive Salaries

Professionals with Fintech expertise often command competitive salaries due to the specialized nature of their skill set.

Innovation to the Core

Be at the forefront of the financial innovation wave transforming organizations across industries, contributing to and benefiting from groundbreaking advancements.

Program Benefits

Strategic Decision-Making

Develop a data-driven mindset to make informed strategic decisions in complex financial scenarios.

Advanced Analytical Skills

Acquire proficiency in advanced financial modeling, time series analysis, and risk management strategies to enhance analytical capabilities.

Programming Proficiency

Develop strong programming skills in Python and R, thereby empowering participants to manipulate and analyze financial data effectively.

Networking

Connect with fellow professionals and potential collaborators, expanding your professional network.

Real-World Application

Apply acquired skills to manage real-world financial challenges through a comprehensive capstone project and gain practical experience for immediate implementation.

Bridge the Academic-Industry Gap

Seamless transition from academia to the professional realm by gaining practical industry-relevant skills.

Program Directors

 

Dr. Pankaj K Agarwal

25+ Years of Professional Experience
Double doctorate including from XLRI Jamshedpur
CFA (ICFAI) & CAIIB (IIBF)
MBA (FMS, MLS University)
B.Sc. (Mathematics & Physics)
Dr. Pankaj has about 25 years of professional experience, including a six-year stint in the banking and financial service industry at a fortune 500 bank like SBI. He has a double doctorate in finance and management- a fellow of XLRI Jamshedpur and a Ph.D in (Business Management) - MBA (FMSU), CFA (ICFAI) and CAIIB (Gold Medalist). He was previously the Chairperson of Executive Education and Associate Professor at IIM JAMMU. He regularly publishes in the business press viz. The Financial Express and has also published/presented several papers in international conferences and ABDC/Scopus listed journals.
His academic and research interests include Asset Pricing, Derivatives & Risk Management, Financial Econometrics, Financial Modeling with Excel & R, Corporate Finance, Microfinance, Banking and Capital Markets.

Program Contents

Programming languages like Python or R

Data cleaning and pre-processing

Dealing with missing data

Data manipulation

Data visualization libraries

Exploratory Data Analysis

Descriptive statistics

Inferential statistics

Hypothesis testing

Regression

Logistic Regression

Predicting Loan Defaults

Time series data handling

Seasonality and trends analysis

Forecasting techniques

Chart patterns and technical indicators for stock price analysis

Algorithm Selection and Evaluation

Model selection criteria

Cross-validation techniques

Evaluation metrics (accuracy, precision, recall, etc.)

Modern portfolio theory and efficient frontier analysis

Risk management techniques in portfolio construction

Portfolio optimization using mathematical models and algorithms.

Text mining

Supervised learning (regression, classification)

Unsupervised learning (clustering)

Introduction to neural networks and deep learning

Time series forecasting techniques (e.g., ARIMA, LSTM)

Feature engineering for stock price prediction

Building and evaluating Machine Learning models (e.g., regression, random forests, neural networks) for price forecasting

Pedagogy

The program will be largely taught through class discussions followed by hands-on sessions to build the necessary skills in the participants. The participants will be expected to consult reading materials, work on exercises and assignments, deliver presentations and participate in other evaluation components that will be designed to reinforce the learning outcomes. The program will be delivered by faculty members from prestigious institutions like XLRI Delhi NCR and industry practitioners. Throughout the duration of the course, students will have the flexibility to reach out to the professors on real time during the class or offline to raise questions and clear doubts.

Evaluation Methodology

XLRI Delhi NCR will evaluate all the participants based on

  • Quizzes
  • Assignments
  • Project Work/ Final Examination

The evaluation process is completely online.

Certification

Certificate of Completion (CoC)

(a.) A minimum of 75% attendance is required to qualify for CoC.

(b.) Overall score minimum 50% marks in

  • Quizzes
  • Assignments
  • Project Work/ Final Examination
Certificate of Participation (CoP)

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

Eligibility & Prerequisite

Ideal For

This program is designed for participants with varying levels of knowledge, providing foundation for beginners while offering advanced topics and practical applications for experienced professionals. It caters to a wide audience keen on the complexities of FinTech and applied financial analytics. The Program is ideal for:

Professionals in the Financial Industry

Technology Enthusiasts and Innovators

Entrepreneurs and Start-up Enthusiasts

Data Analysts and Scientists

Regulatory and Compliance Professionals

Consultants and Advisors

Recent Graduates and Career Switchers

Professionals from Diverse Backgrounds

Faculty Members and Teachers

Professionals from Non-Financial Sectors


Program Schedule

DURATION DAY CLOCK TIME FORMAT LXP
6 Month Sunday 01:00 AM To 01:15 PM Live and Direct- To-Device NSE Knowledge Hub

Program Fee

Details Participants Fee Total Programme Fees
Admission Fees INR 20,000 + 18% GST Apply Now INR 23,600
Program Fee INR 1,00,000 + 18% GST INR 1,18,000

All Fees are payable by Student directly to NSE Academy.

EMI Options and Scholarships Available on Limited Seats.

Learning is more impactful when you join with your colleagues.

  Contact NSE Academy for Corporate Pricing & Scholarships  

Pooja: 8097423874

Gajendra: 8454881917

Divya: 8976415049

About XLRI Delhi NCR

For over 70 years XLRI, India’s first B-School founded in 1949, has had just one campus at Jamshedpur. With India slated to become the fifth largest economy in the world in the near future, there is a concomitant need for more responsible business leaders. Hence, a few years ago, XLRI took a strategic decision to expand its footprint across the country and decided to set up new campuses in the North.

XLRI Delhi-NCR campus is located in Jhajjar District, at Aurangpur, which is 25 km from Gurugram and is centrally connected to the main districts like Delhi, Gurgaon, and Rewari. The foundation stone for the XLRI Delhi-NCR campus in Jhajjar District was laid on 16 January 2017. Shri Om Prakash Dhankar, Cabinet minister, Government of Haryana unveiled the plaque of the foundation stone, and Rev. Anil Couto, Archbishop of Delhi, blessed the foundation stone.

About NSE Academy

NSE Academy Ltd. is a wholly-owned subsidiary of the National Stock Exchange of India Ltd. (NSEIL). NSE 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 input from industry professionals. NSE Academy works closely with reputed universities and institutions across India in building a competent workforce for the future of BFSI and FinTech. NSE Academy also promotes financial literacy as an essential life skill among youngsters - a contribution towards financial inclusion and wellbeing.

Disclaimer

The information in this document can be used only by NSE Academy Ltd. It may not be reproduced in whole, or in part, nor may any of the information contained therein be disclosed without the prior consent of the authorized representatives of "NSE Academy Ltd." except within the organization.

Any form of reproduction, dissemination, copying, disclosure, modification, distribution, and or publication of this material is strictly prohibited.

It is clarified that NSE Academy does not, in any manner whatsoever, assure, warrant, guarantee, or promise any job/placement/advancement to any Participant. Under no circumstances, NSE Academy shall be held responsible/liable for failure on the part of the Participants to pass / successfully clear the interview process or the requirements to successfully secure a job.

The "Executive Program in Financial Data Analytics and Machin Learning " program is administered by the NSE Academy Ltd and XLRI Delhi-NCR. The participants need to complete certificate criteria independently to be eligible for the respective certificates.

The Course Content/Outline mentioned herein is indicative and may be modified by NSE Academy in the best interest of the participants.

The fee paid is non-transferable and non-refundable.

The mentioned rankings are for XLRI Jamshedpur, to know more about XLRI ranking, please visit: