Batch 7

Executive Development Programme in Financial Analytics

Integrated with Applications of AI, Neural Networks, and GenAI in Finance
  • 3-day On-Campus Immersion
  • Live Online Sessions
  • Capstone Project
  • Executive Education Alumni Status
Country/Region
Work Experience

Please note that the programme duration includes a break week for Christmas from 24th Dec 2024 to 1st Jan 2025.

Application Deadline

Apply by Invalid liquid data

Programme Highlights

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10-month live online learning

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3-day on-campus immersion

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21 engaging modules for an immersive learning experience

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Industry-relevant capstone project for practical learning

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XLRI Certificate of Completion

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XLRI Executive Education Alumni Status

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Networking and peer-to-peer learning

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Learning via real-world business applications & industry case studies

Note: Single-occupancy accommodation will be available for participants at the XLRI Jamshedpur campus.  

Who is this programme for?

This comprehensive programme is designed for individuals committed to mastering the highly sought-after skills in financial analytics. Join this programme if you are:

  • A finance professional aspiring to enter the field of financial analytics

  • A practitioner who deals with voluminous and complex financial information

  • An analyst who needs to deploy tools to aid in the financial decision-making process

Programme Modules

  • Module 1: Introduction to the Course, Installing the software

  • Module 2: Introduction to R

  • Module 3: Introduction to Python

  • Module 4: Introduction to Finance

  • Module 5: Accounting Data Analysis

  • Module 6: Understanding data in finance, sources of data, cleaning and pre-processing data

  • Module 7: Understanding Machine Learning

  • Module 8: Building Models Using Accounting Data

  • Module 9: Fraud Analytics

  • Module 10: News Analytics and Sentiment Analysis

  • Module 11: Valuation Analytics

  • Module 12: Time Series Analysis in R/Python

  • Module 13: Understanding stock price behaviour

  • Module 14: Introduction to Technical Analysis

  • Module 15: Back-testing Trading Models

  • Module 16: Valuation of Options

  • Module 17: Portfolio Analytics

  • Module 18: Building stock price forecasting models using Machine Learning and Deep learning

  • Module 19: Introduction to Fintech

  • Module 20: Introduction to Blockchain and Cryptocurrencies

  • Module 21: Case Studies of some successful Fintech companies

  • Capstone Project

Note: The session recordings may be made available on the LMS portal in a non-downloadable format for a limited period subject to the condition of faculty discretion regarding the allowance of recordings of their classes. Throughout the programme, learners can reach out to the professors in real-time during the class.

Capstone Project

The capstone project is a culmination of the Financial Analytics course, designed to enable participants to apply advanced analytical frameworks and state-of-the-art tools to real-world financial scenarios. Leveraging the comprehensive skill set developed throughout the course, learners will use data-driven financial analysis to uncover key insights to drive strategic business decisions. The project emphasizes the practical integration of financial analytics concepts with hands-on experience. It enables participants to transform complex financial data into actionable intelligence and position themselves as a strategic asset in their organizations' financial decision-making processes.

Tools

Note:

  • All product and company names are trademarks or registered trademarks of their respective holders. Their use does not imply any affiliation with or endorsement by them.

  • The above tools and libraries are only a few of the many libraries covered in the programme.

  • The list of tools and libraries covered in the programme can change without prior notice at the faculty's discretion.

Hands-on Learning

The course is designed to include lectures by XLRI faculty and will be taught through presentations, exercises, and general discussions. As an applied course, most sessions will be conducted as workshops to provide both theoretical and practical knowledge. The programme will include:

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Decision Trees and other ML tools for Credit Scoring

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Open AI / Generative AI Applications in Financial Analytics

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Neural Network (NN) Models for Stock Price Prediction

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Building a Trading Model and performing Back Testing

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Value-at-Risk (VaR) Estimation

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Back Testing of Portfolio Models (Modern Portfolio Theory)

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Sentiment Analytics (text Analytics) using NLP or LLM

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Valuation Analytics

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ML model to analyse and identify financial fraud

Note: The activities may change as per XLRI’s discretion.

Learning Outcomes

The programme provides in-depth theoretical and practical knowledge of global financial analytics practices. By the end of the programme, participants will be able to:

  • Master financial data analysis using R and Python for accurate and insightful financial forecasting.

  • Develop predictive models to enhance decision-making and investment strategies.

  • Execute fraud detection and prevention using advanced machine learning techniques.

  • Perform comprehensive sentiment and technical analysis to gauge market trends.

  • Optimise investment portfolios by applying deep learning and quantitative analysis.

  • Integrate financial data with external sources for robust, data-driven business insights

Programme Certificate

Programme Certificate

A minimum of 70% attendance to the live lectures is a prerequisite for the successful completion of this programme. In addition, there will be two quizzes and one assignment. The evaluations are designed to ensure continuous student engagement with the course and encourage learning. Participants who successfully complete the evaluations along with the requisite attendance criteria, a course-end assessment and project work will be awarded a certificate of completion by XLRI. Participants who are unable to clear the evaluation criteria but have the requisite attendance will be awarded a participation certificate by XLRI.

Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of XLRI.

XLRI Executive Education Alumni Benefits

Upon completion of the programme, participants will receive the prestigious XLRI Executive Education Alumni Status. The benefits include:

  • Receipt of all XLRI programme brochures and newsletters along with details of souvenirs available with MDP Office

  • Lifelong access to a network of distinguished XLRI Executive Alumni

  • Access to the XLRI Campus Library (on-site access)

  • 10% discount in fee for any additional programme (Open programme, Online) at XLRI

  • 10% group discount on the fee for reference of participants (minimum group of five)

Note: The Executive Alumni benefits are subject to the discretion of XLRI.

Programme Director

Prof. Pitabas Mohanty

Assistant Professor, Information Technology and Systems

Prof. Pitabas Mohanty is a Fellow of the Indian Institute of Management, Bangalore. A Gold Medallist in MA (Applied Economics), he is a Chartered Financial Analyst (ICFAI) and...

Past Participant Profiles

Work Experience
Top Industries
  • Banking and Financial Services

  • IT Services and Consulting

  • Manufacturing

  • E-commerce, Internet and Telecom

  • Professional Services, Education, and Training

Top Job Titles
  • Analyst

  • Manager

  • Associate

  • Consultant

  • GM

  • Director

  • Specialist

  • Founder

  • Functional Heads

  • VP

Past Participants of the Programme Work at

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Note: All product and organisation names are trademarks or registered trademarks of their respective holders. Their use does not imply any affiliation with or endorsement by them.

Emeritus Career Services

15 Recorded sessions and resources in the following categories:

(Please note: These sessions are not live):

  • Resume & Cover Letter

  • Navigating Job Search

  • Interview Preparation

  • LinkedIn Profile Optimisation

Please Note -

  • XLRI or Emeritus do NOT promise or guarantee a job or progression in your current job. Career Services is only offered as a service that empowers you to manage your career proactively. The Career Services mentioned here are offered by Emeritus. XLRI is NOT involved in any way and makes no commitments regarding the Career Services mentioned here.

The Learning Experience

More than 300,000 professionals globally, across 200 countries, have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded. All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes, the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner during the course period the cost of which is already included in the overall Course fee of the course.

A dedicated program support team is available 7 days a week to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.

Connect with a learning advisor for a 1:1 session

Email: info@emeritus.org

WhatsApp: +65 3138 2485

Early registrations are encouraged. Seats fill up quickly!

Flexible payment options available.

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