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Financial Technology (FinTech) has its origins in the 2008 Global Financial Crisis where the financial markets collapsed, traditional banks and financial institutions came under heavy regulation and many white-collar finance jobs were lost. The same talent created startups using disruptive technologies that made banking far more economical to the masses – basically, the digitalization of all processes such as commercial (SMB) lending, P2P lending, raising capital (Investment Funds, Robo-Advisories, even ICOs-Crypto or IDOs - DeFi), crowdfunding, payments, insurtech, and regtech, to redefine and eliminate the inefficiencies that prevailed in the past.

In India, FinTech is now one of the most prolific sectors and has a high degree of venture investor interest among the growth sectors. FinTech and its related segments – including digital payments, digital lending and fintech SaaS in India are poised for exponential growth. Several key initiatives undertaken by the Indian Government and the COVID-19 pandemic have accelerated the acceptance of FinTech technologies in India and have catapulted the FinTech sector. The JAM Trinity (Jan Dhan Yojana, Aadhaar, and Mobile) along with the UPI (United Payments Interface) platform has enabled the Indian FinTech sector to leap-frog ahead of the FinTech sectors of many developing countries.

The ever-evolving landscape and growth in this segment of Financial Services throw up numerous employment opportunities for Business (MBA/BBA) students and for developers with an engineering background. Considering the future scope of the FinTech industry, Jagdish Sheth School of Management (JAGSoM) introduced the Financial Technologies (‘FinTech’) Career Track in collaboration with Darden School of Business, University of Virginia, USA.

The objective of the FinTech Career Track is to prepare participants for Fintech roles in the industry. Participants get a deeper understanding of prevalent global FinTech business models through an immersion program with Darden School of Business and receive mentoring from both JAGSoM and Darden faculty. The Career Track in FinTech focusses not only on the Product Management skillsets, but also on hard Quantitative and Business analytics skills which are prized by Industry.

Participants in the Career Track work on a live industry (Request For Problem - RFP) project with Indian FinTech companies. Each year, JAGSoM invites industry partners to refer business problems that they are currently facing which student consulting teams help to solve, each led by a fulltime faculty member (or an interdisciplinary team of faculty members).

I invite you to have a look at the FinTech Career Track in greater detail in the subsequent pages and invite you to partner with us to collaborate on RFP projects that may be of mutual interest.


JAGSoM is distinguished by a unique Curriculum 4.0 aligned to the needs of Industry 4.0. The Curriculum is designed to groom ‘T-shaped professionals’ for new-age roles in new-age companies and is delivered through the unique pedagogy of ‘Learning by Solving’.

The PGDM program at JAGSoM is delivered by domain specialist faculty, with professional experience in the industry.

JAGSoM conducteda joint study in collaboration with the National Human Resource Development Network (NHRDN) to identify the unmet needs of the industry and the skills required for Industry 4.0.

CURRICULUM 4.0 – Moulding T-Shaped Professionals

The culmination and analysis of the results of the JAGSoM-NHRDN study revealed that successful professionals of the future will be ‘T’ shaped professionals, combining both a l wide breadth of knowledge across areas and in-depth knowledge in a specialised area.

The main focus of Curriculum 4.0 is to groom T-shaped professionals for new age roles in new age industries.

As illustrated in the figure above, the top bar of the ‘T’ represents the broad skills such as the people skills, the social skills, and an appreciation of multi-functional capabilities and how the functional areas play among themselves.

The Practice Courses at JAGSoM form an important part of the pedagogical interventions and are accorded great priority. Almost one third of the total credits in the entire PGDM program is assigned to practice courses. The Practice Courses are ‘Hands – On’ and serve to ensure that students get ready for Industry 4.0.

The Majors, Minors and the Career Tracks make up the Vertical bar of the ‘T’.

In order to ensure that studentsare ready for Industry 4.0,Curriculum 4.0 includesCareer Tracks aligned to their professional goals. Students do a deep dive immersion in their Career Tracks to acquire the required competencies and critical skills to become industry ready.The Career Tracks enable the students to achieve depth of knowledge and skills in a specific area pertaining to Industry 4.0.

The Curriculum 4.0 of JAGSoM includes 4 Majors – Marketing, Finance, Analytics & Digital Business and HR, as well as 7 Career Tracks in MarTech, Sales & Service, FinTech, Capital Markets, Banking, Business Analytics and Digital HR.

Integrated Pathway for ‘Learning by Solving’

JAGSoM’sCurriculum 4.0 is delivered through the unique pedagogy of ‘Learning by Solving’ where students work in groups to solve real life problems supported by Industry partners and mentored by domain specialist faculty.

The pedagogy of ‘Learning by Solving’ is operationalized by an integrated pathway consisting of 3 Key Interventions, in which every student at JAGSoM’s PGDM program participates.

Research/Innovation Incubation (RI/II): Students work in small groups either on Research Projects or Start-Up Ideas, under the guidance of faculty mentors.

In the Research Incubation practice course, the focus is on research topics that impact practice where students get an in-depth understanding of various domains through sector and company analysis. The Innovation Incubation practice course is aimed at developing the entrepreneurial mindset of students and at providing them a structured path to creating and launching their own startups.

Career Track Program & Request for Problem (RFP) Project: The same student groups from the Research Incubation and Innovation Incubation practice courses then move on to work on a live industry project in the Career Track program. Students select a Career Track aligned to their professional goals and do a deep dive immersion to acquire the required competencies and critical skills to become industry ready. Career Tracks are offered to students in MarTech, Sales & Service, FinTech, Capital Markets, Banking, Business Analytics and HR-Digital Transformation.

The ‘Request for Problem’ (RFP) project is an integral component of the ‘Career Track’ Program. Each year, JAGSoM invites industry partners to refer business problems that they are currently facing which student consulting teams help to solve, each led by a fulltime faculty member (or an interdisciplinary team of faculty members).

Industry Internship Program (IIP): The final step in the pathway is a 3-month long Industry Internship where the students intern with new-age companies to get hands-on experience. The IIP is an intensive immersion, enabling the students to apply the domain knowledge acquired in Research/Innovation Incubation, Career Track and RFP projects, while also understanding real-world industry applications.


Personality Enhancement Program

A life-skill and lifestyle-oriented course that addresses issues of wellness and essential skills, like communication, negotiation, and cross-cultural orientation, to groom a holistic individual.

Personality Enhancement Program
Corporate Mentoring

Corporate Mentoring

Corporate mentors guide students in goal setting and realization of their professional aspirations.

Effective Execution

This course aims at enhancing the ability of students to address the challenges of collaboration, conflict resolution, timely and cost-effective execution of critical activities to achieve specific milestones in institution building activities.

Effective Execution
Social Immersion Program

Social Immersion Program

Students undertake immersions with NGOs in rural areas. Students learn to design solutions for social problems through a Techno Economic Viability study, thereby enabling sustainable, socially positive, and measurable impact on UN Sustainable Development Goals.

Research Incubation

In the Research Incubation practice course, students work in small groups on Research Projects under the guidance of faculty mentors. The focus is on research topics that impact practice where students get an in-depth understanding of various domains through sector and company analysis.Thispractice course is featured by AACSB in the list of best practices in the Asia Pacific.


Design Thinking and Innovation Incubation

This course empowers the participants to develop an entrepreneurial mindset and enables them to tackle business problems & challenges through creativity and innovation.Students work in small groups on Start-Up Ideas under the guidance of faculty mentors.The Innovation Incubation practice course is aimed at developing the entrepreneurial mindset of students and at providing them a structured path to creating and launching their own startups.

Industry Internship Program

The PGDM program concludes with this 3-month long internship providing a transitioning bridge between theory and practice. The Industry Internship Program (IIP) is the final component of the RI-RFP-IIP Integrated Pathway for ‘Learning by Solving’.



The Career Track in FinTech will have the following courses as follows, along with a Capstone Project (RFP):

  • Machine Learning with Python

  • Advance FinTech

  • Applications of Blockchain in Finance

  • Financial Risk Analytics

  • FinTech Immersion (Partner University: Darden School of Business)

  • Capstone Project (RFP)

Prerequisite Courses
The following elective courses are prerequisites for the Career Track in FinTech:
• Financial Technologies (Elective), apart from the Finance Core Courses.

Course Content

  • Course 1: Machine Learning with Python

    Session Topic
    1-3 Python
    • 1. Fundamentals of Python
    • 2. Data Structures in Python: Lists, Dictionaries, Tuples, Sets
    • 3. Data Ingestion (data frames) and File Management
    4-6 More about Python
    • 1. Google Colab Environment
    • 2. NumPy Arrays, Matrix Operations
    • 3. Pandas, Scikit-learn in Python
    • 4. Data Visualization using Matplotlib
    7-10 Regression and Regularisation
    • 1. Introduction to Supervised Learning
    • 2. Introduction to Unsupervised Learning
    • 3. Regularisation
    • 4. Linear Regression, Lasso, Ridge, Elastic Net
    • 5. R2, Adjusted R2 and RMSE Measures
    • 6. Over-fitting and Under-fitting
    • 7. Bias-Variance Trade-off
    11 Data Pre-processing
    • 1. Data Cleaning and Data Transformation Techniques
    12-13 Classification
    • 1. Logistic Regression
    • 2. Confusion Matrix
      • Accuracy
      • Sensitivity
      • Specificity
      • Precision
      • Recall
      • F1 Score
    • 3. ROC Curve
    14-15 Tree-based algorithms
    • 1. Decision Tree, Random Forest, XG Boost
    16-18 Usage of ML
    • 1. Application of Machine Learning in Finance
  • Course 2: Advance FinTech

    Session Topic
    Fabric of Fintech - Role of Emerging Technologies (8 hours)
    1-2 Role of Cloud and API in Embedded Finance
    • 1. Advancement in Cloud Computing and Introduction to Webservices
      • Serverless Computing
      • Anything as a service
      • Realtime Data Analysis
      • Concept Containerization
    • 2. Account Aggregators
    • 3. Open Credit Enablement Network (OCEN)
    • 4. Open Network for Digital Commerce (ONDC)
    • 5. Open Banking and Embedded Finance led Business models
    • 6. Concept of Regulatory Sandbox
    • 7. Data Privacy and Security
    2-3 Role of Distributed Ledger Technologies (DLT) in Decentralized Finance (DeFi)
    • 1. Tokenomics
    • 2. Initial Coin Offering (ICO) and Security Token Offering (STO)
    • 3. Non-Fungible Tokens (NFT)
    • 4. Types of Stable Coin and their role
    • 5. Various DeFi Products
    • 6. Yield Farming and Liquidity Pools
    4-5 AutoML and Explainable AI in Finance
    • 1. Traditional ML vs AutoML
    • 2. Using BigML.com for AutoML application
    • 3. IBM Openscale AI for debiasing the data and create explainable models
    5-6 Internet of Things (IoT) and Edge Computing in Finance
    • 1. Various Sensors and their role
    • 2. Various type of IoT network
    • 3. Edge Computing
    • 4. Digital Twin
    Fabric of Fintech - business Models across Fintech Subdomains (12 Hours)
    7-10 PayTech Models
    • 1. Offline Payment: UPI Lite, UPI 123Pay
    • 2. New age Cross-border Payments
    • 3. Innovation in B2B & Trade Finance
    • 4. BNPL & UPI led cards
    • 5. Fraud Detection
    10-13 LendingTech Models
    • 1. Retail & SME Lending
    • 2. P2P Lending
    • 3. Revenue Based Financing (RBF)
    • 4. Alternative Credit Scoring (ACS) and Use of Location Intelligence & Behaviour analytics
    14-15 InsurTech
    • 1. Embedded Insurance
    • 2. Insurance in a Box
    • 3. Bite sized and Gamified Insurance
    • 4. Usage based and IoT assisted Insurance
    • 5. IRDA Sandbox
    15-16 WealthTech
    • 1. Various Alternative Investments
      • Fractional Real estate
      • Lease Financing led investment (e.g. Grip Invest)
      • Investment Buckets and Pre-IPO investment
      • Self Service Platforms
      • Crypto Assets
      • P2P investment
    • 2. Micro-investment
    • 3. Group/Social Investment
    • 4. Robo-advisory models
    • 5. Algo trading and High Frequency Trading
  • Course 3: Application of Blockchain in Finance

    Session Topic
    1 Introduction
    • 1. What is blockchain technology and why might it be a catalyst for change in the financial sector?
      • Understand Blockchain Technology
      • Understand the ecosystem around blockchain
      • Understand blockchain applications
    2 Money, Ledgers, and Bitcoin
    • 1. What do the roles and characteristics of money mean historically and in today’s digital economy?
    • 2. What is fiat currency, what are its ledgers, and how does it fit within the history of money?
    • 3. How does Bitcoin fit within the history of money, the emergence of the Internet, and failed attempts of cryptographic payment systems?
    3 Blockchain Basics and Cryptography
    • 1. What are the design features – cryptography, append-only time-stamped blocks, distributed consensus algorithms, and networking – of Bitcoin, the first use case for blockchain technology?
    • 2. What are cryptographic hash functions, asymmetric cryptography, and digital signatures? How are they utilized to help make blockchain technology verifiable and immutable?
    • 3. What is the double-spending problem and how it is addressed by blockchain technology?
    4 Blockchain Basics and Consensus
    • 1. What is the Byzantine Generals’ problem? How does proof work and mining in Bitcoin address it? More generally how does blockchain technology address it?
    • 2. What other consensus protocols are there? What are some of the trade-offs of alternative consensus algorithms – proof-of-work, proof-of-stake, etc.?
    • 3. How do economic incentives work within blockchain technology to maintain decentralized ledgers and avoid double-spending? What are the incentives of consensus protocols and mining?
    5 Blockchain Basics and Transactions, UTXO, and Script Code
    • 1. How does Bitcoin record transactions? What is unspent transaction output (UTXO)?
    • 2. What is script code embedded in each Bitcoin transaction and how flexible a programming language is it?
    • 3. As many designs features pre-date Bitcoin, what was the novel innovation of Santoshi Nakamoto?
    5 Blockchain Basics and Transactions, UTXO, and Script Code
    • 1. How does Bitcoin record transactions? What is unspent transaction output (UTXO)?
    • 2. What is script code embedded in each Bitcoin transaction and how flexible a programming language is it?
    • 3. As many designs features pre-date Bitcoin, what was the novel innovation of Santoshi Nakamoto?
    6 Smart Contracts and DApps
    • 1. What are smart contracts? How do they compare to traditional contracts? What are tokens?
    • 2. What are smart contract platforms such as Ethereum? What generally distinguishes them from Bitcoin?
    • 3. What are decentralized applications (DApps)?
    • 4. What has been the usage and why haven’t any DApps yet received wide consumer adoption?
    7 Technical Challenges
    • 1. How critical are the technical and commercial challenges – scalability, efficiency, privacy, security, interoperability – of current blockchain technology?
    • 2. What are the possible trade-offs of decentralization, scalability, and security?
    • 3. What are the trade-offs of consensus software updates, governance, and so-called ‘hard forks?
    • 4. What might current work – Layer 2 applications, zero-knowledge proofs, alternative consensus algorithms – do to address current commercial challenges?
    8 Public Policy
    • 1. How do key public policy frameworks – guarding against illicit activities, ensuring financial stability, and protecting investors – relate to blockchain technology and crypto finance?
    • 2. Under tax, bank secrecy, securities, and commodities laws, what is the relevance if crypto tokens are deemed property? Currencies? Something of value? An investment contracts. A commodity?
    • 3. How might the ‘Duck Test’ guide think of blockchain technology and crypto finance?
    9 Permissioned Systems
    • 1. What is permissioned or private distributed ledger technology? How does it differ from permissionless or open blockchain applications?
    • 2. What are the key blockchain-inspired features of Corda and Hyperledger Fabric? What is Digital Asset Holdings?
    • 3. What are the business trade-offs of utilizing a permissioned vs. a permissionless application? What are the trade-offs for consumers?
    10 Financial System Challenges and Opportunities
    • 1. What are the trade-offs of centralized institutions and markets in the financial sector?
    • 2. Which challenges of the financial sector – periodic crises, concentrated risks, economic rents, legacy systems, processing risks, financial inclusion – might present opportunities for blockchain applications?
    • 3. How does blockchain technology fit within other trends – particularly with regard to technology -facing the financial sector in 2022?
    11 Blockchain Economics
    • 1. How do decentralized blockchain applications affect the cost of verification and the cost of networking? How do blockchain applications affect market power?
    • 2. What might the economics and organization of the Internet - with its protocol layers and applications -tell us about the future of blockchain technology?
    • 3. What lessons should be drawn from crypto skeptics – Krugman, Stiglitz, Roubini, Gates, Buffett, Dimon, & others -about the economic potential for blockchain technology? What is an answer to the oft-stated query: ‘what problem do cryptocurrencies solve?
    12 Assessing Use Cases
    • 1. What potential benefits – in terms of reducing costs of trust – are there when adopting blockchain technology applications? How might potential use cases be assessed for the trade-offs of decentralized vs. centralized applications?
    • 2. What are the potential strategic benefits from blockchain applications? What are the attributes of potential use cases and sectors that might best capture value from such applications? How important are the benefits of censorship resistance to this analysis?
    • 3. How can you separate rigorous analysis from mere assertion and hype in the blockchain ecosystem?
    13 Payments
    • 1. What are the major trends – mobile apps, digital wallets, open banking, and enhanced methods of bank transfers & authentication in payment systems today?
    • 2. What lessons can be drawn from non-blockchain payment innovations, such as Alipay, WeChat Pay, M-Pesa, India’s IMPS, and mobile payment apps?
    • 3. What are the challenges and opportunities in the current cross-border payment system architecture?
    14 Central Banks and Commercial Banking
    • 1. What strategic considerations should go into Central Banks thinking of expanding access to digital reserves through central bank digital currency (CBDC)?
    • 2. How might design considerations – retail vs wholesale access; token or account based; interest bearing and level of service – weigh in such decisions?
    • 3. What are the challenges CBDCs might pose to commercial banking models, monetary policy implementation, payment systems resilience and financial stability?
    15 Secondary Markets and Crypto Exchanges
    • 1. How have crypto exchanges become a critical gateway for the vast majority of crypto secondary market trading?
    • 2. How does the business model of crypto exchanges compare to traditional securities and derivatives exchanges? How do centralized crypto exchanges compare to decentralized crypto exchanges?
    • 3. What do all the hacks, reports of manipulation, and failures tell us about the current state of security and investor protection of crypto exchanges?
    16 Primary Markets. ICOs and Venture Capital
    • 1. What is the new crowdfunding mechanism of blockchain technology - initial coin offerings (ICOs)?
    • 2. What attributes help distinguish successful ICOs? Why have so many ICOs failed?
    • 3. What has the wave of ICOs meant for the venture capital field?
    17 Post Trade Clearing Settlement and Processing
    • 1. What are the opportunities of blockchain technology to lower costs and counterparty risks in the clearing, settlement, and processing of financial transactions?
    • 2. Why have the applications proposed to date almost exclusively been focused on permissioned or private distributed ledger technology?
    • 3. What lessons might be drawn from the ongoing projects – ASX for equities, ISDA for swaps, others?
    18 Conclusion
    • 1. Money and Ledgers
    • 2. Satoshi Nakamoto’s Innovation
    • 3. Economics of Blockchain Technology
    • 4. Financial Sector Opportunities
    • 5. Crypto Finance
    • 6. Public Policy Frameworks
  • Course 4: Financial Risk Analytics

    Session Topic
    1-2 Introduction
    • Introduction to Financial Risk Analytics
    • Usage of Python and Excel to do risk analysis
    3-4 Credit Risk Modelling
    • Using Logistic Regression
    • Using Decision Trees
    5-8 Market Risk Modelling
    • Using Non-Linear programming
    9-10 Fraud Detection
    • Using Logistic Regression with SMOTE and cost-based hyper tuning
    11-13 Options Pricing
    • Using Simulation
    14-16 Bankruptcy Modelling
    • Using Linear Discriminant Analysis
  • COURSE 5: Fintech Immersion – Partner University (Darden School of Business)

    Session Topic
    1 Strategy in the Digital Age
    • GoogleCar (614022-PDF-ENG)
    • How does digital transformation impact the basis of competition?
    • What will competition look like in autonomous vehicles?
    2 InsurTech
    • Cuvva: Disrupting the Market for Car Insurance (IN1430-PDF-ENG)
    • What is the value chain in the insurance markets?
    • Does Cuvva disrupt this value chain?
    • Insurance 2030— The impact of AI on the future of insurance,
    • Future of insurance: Unleashing growth through new business building
    • Digital Disruption in Insurance: Cutting through the noise, McKinsey and Co.
    3 Digital Banking
    • Elixir: A Fintech Banking Solution for Millennials (W18578-PDF-ENG)
    • New Digital Banks – Business Model and understanding their marketing and distribution strategies
    • FinTech, BigTech, and the Future of Banking,
    • The banking industry and digital innovation: in search of new business models and channels,
    • AI-bank of the future: Can banks meet the AI challenge?
    • Reimagining customer engagement for the AI bank of the future
    4 Payments
    • Digital Business Transformation in Silicon Savannah: How M-PESA Changed Safaricom (Kenya) (IMD868-PDF-ENG)
    • Understanding the M-PESA Business Model and how digital money characteristics influence the development of new products and services
    • Payments Innovation and the Use of Cash
    • New Innovations in Payments
    5 Payments
    • Square: Disruption in the US Mobile Payment Market (KEL792-PDF-ENG)
    • Understanding Square’s business model and how its fits into a typical payment transaction process (CC)
    • The Payments Industry Landscape: What Does It Look Like Today?
    • Cooperation for Innovation in Payment Systems: The Case of Mobile Payments.
    • Mobile Payments: Moving Towards a Wallet in the Cloud?
    6 P2P Lending
    • Lending Club (E597-PDF-ENG)
    • Understanding Lending Club as a marketplace fintech
    • A temporary phenomenon? Marketplace lending - An analysis of the UK market
    • Fintech credit markets around the world: size, drivers and policy issues
    7 P2P Lending
    • China Rapid Finance: The Collapse of China's P2P Lending Industry (321124-PDF-ENG)
    • Why has the MPL industry run into trouble in the emerging markets, but is still fully functional in the developed countries?
    • The Microfinance Revolution: An Overview,
    • What today’s shake-out in China’s peer-to-peer lending market means for fintech
    8 Microfinance
    • M Power Micro Finance: Early Battle for Survival (W15632-PDF-ENG)
    • How does microfinance work?
    • What factors contributed to the microfinance crisis in India in 2010?
    • Andhra Pradesh 2010: Global Implications of the Crisis in Indian Microfinance,
    • Making Microfinance More Effective,
    9 Reward-based Crowdfunding
    • Crowdfunding: A Tale of Two Campaigns (BAB282-PDF-ENG)
    • Understanding key factors for a successful crowdfunding campaign?
    • Democratizing Innovation and Capital Access: The Role of Crowdfunding
    • Some Simple Economics of Crowdfunding
    10 Securities Crowdfunding
    • OurCrowd: Growing a Crowdfunding Platform in a VC World (KEL922-PDF-ENG)
    • Understanding equity-crowdfunding
    • Challenges in growing crowdfunding platforms like OurCrowd
    • Are Syndicates the Killer App of Equity Crowdfunding?
    • Has the US Equity Crowdfunding Market Lived up to Expectations?
    • Does General Solicitation Improve Access to Capital for Small Businesses? Evidence from the JOBS Act.
    11 Robo Advising
    • The Wealthfront Generation (216085-PDF-ENG)
    • Roboadvisory and disruption in the asset management industry
    • Robo-advising Note
    12 Retail Investment
    • Race to Robinhood Markets IPO, UVA-DRAFT
    • How did Robinhood change retail investment?
    • What is Robinhood’s business model?
    • Robinhood’s Role in the ‘Gamification’ of Investing
    • Robinhood’s Debut Is Clouded by SEC Scrutiny of Payment for Order Flow
    13 Cryptocurrency
    • Cryptocurrencies: Investment, Money, or Gamble? (A) (W91C19-PDF-ENG)
    • What is a cryptocurrency? Is bitcoin an asset, a commodity, or a currency?
    • Distributed Ledger Technology (DLT) and Blockchain
    14 ICO
    • AirFox (A): Embracing the Blockchain and an ICO 818097-PDF-ENG
    • Difference between ICO and IPO
    • The Hidden Costs of Initial Coin Offerings
    • The Summer of ICOs: VC Implications,
    • What did Silicon Valley’s crypto bubble create?
    • Initial Coin Offerings: Financing Growth with Cryptocurrency Token Sales
    15 Platform Building
    • Ant Financial (A) - HBS
    • FinTech in China – economic and societal considerations
    • Why Some Platforms Thrive and Others Don’t (BR, 97(1): 118-125, 2019)
    • Spotting Institutional Voids in Emerging Markets (HBS -106-014)
  • Business Analyst - FinTech

    This is a professional role which is responsible for obtaining the business requirements from industry clients and liaising with the client’s business team to capture specific business and functional requirements (BRD) and translate those to the language of the developer within the FinTech firm to add as features. While the key relationship management may be with the Product Manager, a reasonable understanding of the business process and the alternate technology solutions is part of the responsibility of this role.


    • Liaise with Client Business Team
    • Understand clients' business mandate
    • Understand solution options
    • Provide detailed requirements to own team of developers
    • Support solution development validation and e2e implementation
    • Analyze Business process and refine as per business/test requirements

    Critical Skills

    • Good understanding of Fintech Business Models
    • Good understanding of IT Applications & Solutioning
    • Understanding Business Requirements & Scoping
    • Having ownership of Deliverable
    • Sound Understanding of Business Processes

    Interventions - Courses

    • Machine learning with Python
    • Advance FinTech
    • Application of Blockchain in Finance
    • Financial Risk Analytics
    • FinTech Immersion
    • CT FinTech RFP – Capstone Projects
  • Product Manager/Associate Product Manager – FinTech

    This is the starting role leading on a path to Head of Product (Product Owner who is responsible for the overall product roadmap) by prioritising features, timelines and pricing, leading the solutioning meetings where the trade-offs are captured, understand the solutioning options and understanding the client’s business mandate clearly.


    • Own relationship with Client Business Team
    • Understand clients' business mandate
    • Provide solutioning options
    • Prepare Product Roadmap
    • Provide detailed requirements to own team of developers
    • Lead Solutioning Meetings
    • Partner with Model Development and Engineering

    Critical Skills

    • Being a Trusted Advisor
    • Sound understanding of Fintech Business Models
    • Sound understanding of IT Applications & Solutioning
    • Ability to prioritize features, timing and pricing
    • Understanding tradeoffs, testing & development intricacies
    • Having ownership of Deliverable

    Interventions - Courses

    • Machine learning with Python
    • Advance FinTech
    • Application of Blockchain in Finance
    • Financial Risk Analytics
    • FinTech Immersion
    • CT FinTech RFP – Capstone Projects
  • Business Development – FinTech

    This is the trusted advisor role and represents the voice of the client within the Fintech firm. The professional should be having a deep understanding of the industry and FinTech business models to carve out business partnering and Go-to-Market opportunities by collaborating with technology and pre-sales teams to create a business case.


    • Client Relationship Management
    • Understand the industry and target market
    • Collaborate with Pre-Sales & Tech Teams
    • Identify new prospects in the target market / territory / industry
    • Understand own company selling proposition vs competitors
    • Position the value proposition effectively

    Critical Skills

    • Sales - Trusted Advisor, being the SPOC for own client's challenges
    • Industry Analysis
    • Understand underlying technology, team player
    • Sensing and prioritizing BD opportunities
    • Understanding of Product & market positioning
    • Sound presentation and verbal-written communication skills

    Interventions - Courses

    • Machine learning with Python
    • Advance FinTech
    • Application of Blockchain in Finance
    • Financial Risk Analytics
    • FinTech Immersion
    • CT FinTech RFP – Capstone Projects
  • Finance Area Courses - Catalogue

S.No. Course Type Course Name Course Objectives
1 Foundation Introduction to Accounting & Principles of Banking Introduction to Accounting and Principles of Banking course deals with the field of accounting with a broader managerial perspective. The first part of the course deals with concepts and conventions i.e. principles of Financial Accounting that in turn focuses on summarizing, analyzing and reporting of financial transactions pertaining to any business. Students are also introduced to corporate finance, forms of Business organizations and the time value of money.
2 Core Financial Accounting and Financial Statement Analysis The course covers the Basics of accounting and preparation of financial statements, how to read and interpret corporate financial statements, key Indian Accounting Standards, how to analyse financial statements and make projections and the concept and need for green accounting.
3 Core Management Accounting The course covers management accounting vis-à-vis financial accounting, traditional costing systems, preparation of cost sheets, cost- volume-profit analysis and relevant cost analysis for decision making. It also covers the preparation and use of budget for business planning and control, Strategic cost management tools like lifecycle costing, activity- based costing, and target costing and Cost management in the digital age.
4 Core Corporate Finance Students are inducted into the various finance functions and how this maps vis-à-vis business goals and shareholder value creation. Techniques of valuation like Discounted cash flow techniques and their various applications, including applications for capital investment decisions and valuation of bonds/stocks, cost of capital estimation, capital structure planning and dividend decision are taught. Raising funds in the domestic and international markets and the basics of mergers, acquisitions, and corporate restructuring are covered.
5 Core Business Economics The course will start with the familiarization of applied microeconomics, the macroenvironment of business, and will cover aspects of the global business environment and the new economy business model. In a program of this kind, the focus will be on the application of economic theory to business.
6 Elective Principles and Practices of Banking Familiarizing the students with the landscape of the Indian financial and banking system. Understanding the KYC norms and the nuances of the opening of deposit accounts especially the minor accounts, firm accounts, joint-stock companies, HUF, Society etc., deposit accounts opening formalities.

Understanding the nuances of various sections (Negotiable Instruments Act, 1881) relating to banking instruments collection & payments. Different P- segment loan products offering by banks for different segments of the market.

Familiarizing the students with the principles of lending. Various methods of working capital assessments, Term loan appraisal, and non-fund-based products like LCs & BGs.
7 Elective Corporate & Retail Banking The course covers the breadth of corporate and retail banking services offered by banks – fund-based and non-fund based. The process of credit appraisal and credit monitoring is covered in depth. There is coverage of Project Appraisals and also non-fund based export finance and buyer’s & supplier’s credit facilities offered by banks. The loan covenants, risk profiling and credit risk management are covered. On Retail Banking, the types of products, credit appraisal and other services are covered as well.
8 Elective Securities Analysis and Portfolio Management Familiarizing the students with modern portfolio analysis in the context of the Capital markets. This includes understanding the difference between Investment and Speculation, Fundamental vs Technical Analysis, Efficient Market hypothesis, Technical Analysis like Dow and Elliott Wave theory, and price movement indicators.

This course also covers Stock Valuation using different methods like DCF, multiples etc. and under different conditions like inflation. Similar performance for Bond Yields (and pricing), modern portfolio theory and portfolio performance evaluation of mutual funds.
9 Elective Derivatives This course covers the breadth of derivatives starting from basics – types of derivatives, where traded (OTC vs Exchange), regulations related to these instruments, forwards versus futures – commodity futures, index and currency futures and introduction to hedging.

Similarly, type of options – stock, currency and their payoffs and trading strategies.

Use of Option Pricing models like Binomial, Black-Scholes, volatility, price sensitivities (Greeks of Options), interest rate and currency swaps, forward rate agreements and credit derivatives. Understanding Value at Risk models.
10 Elective Finance Trading Lab The objective of the course is to provide hands-on exposure to online trading systems for technical analysis and back-testing. Also, to understand the application of trading techniques, designing trading strategies, generating entry/exit points and use of the Bloomberg terminal. Derivatives trading strategies are also covered in reasonable depth.
11 Elective Financial Risk Management The course covers the basics of Risk Management viz. interest rate/market risk, credit risk, basic hedging, typology of risk exposures as well as operational risk, liquidity risk, Economic Capital and RAROC, Asset-Liability Management (ALM) and its impact on the pricing of loans. It also tries to detail how traders and MNCs manage their financial/market risks, hedge currency risk through forwards, futures, options and Swaps.
12 Elective Investment Banking and M&A The course outlines the necessary knowledge areas of Investment Banking starting with Core and Allied Areas (Mutual Funds, Alternate Investment Funds). Domestic Issue management from the types of issues, the role of an investment bank and SEBI Regulations are covered in depth including assignments to pitch as an Investment Banker.

Types of equity and debt instruments in India and overseas markets are covered as also Private Placements and Underwriting. ADR / GDR as well as FCCBs and External Commercial Borrowings are covered with adequate sessions to ensure the student understands all aspects of what an Investment or Merchant Bank does today.

M&A is a time-tested strategy for businesses to grow. This course allows the students to understand and appreciate the reasons behind the corporate’s need to acquire or merge. The course dwells on issues related to the valuation and financing of businesses and also introduces the students to divestitures.
13 Elective Private Equity and Business Valuation The course covers approaches to valuation, dilution and anti-dilution and the importance of a business plan. It covers the lifecycle of a venture- funded company, regulatory aspects around a Private Equity Fund, documentation requirements of a PE Fund, day-to-day operations and the entire life cycle of a Private Equity Fund.

Valuation includes cashflow based (DCF), relative valuation (multiples) and market transaction method to provide a complete toolkit required by a student entering the world of Private Equity and AIFs.
14 Elective Wealth Management The course proposes to provide students with an insight into perspectives, principles, and practices of the personal financial planning industry, examine the present status and developments that are taking place in the personal financial planning industry and to inculcate among the students the application of personal financial planning process in an understandable, step–by–step format.
15 Elective Corporate Taxation The course starts with the basics of taxation and covers corporate tax (direct) as well as Goods & Service Tax (indirect), computation of taxable income and cover aspects of corporate tax planning.
16 Elective MSME Financing The course covers a deeper understanding and appreciation of the issues and challenges of MSMEs and the various supporting initiatives and the enablers of the Government. It also included familiarizing students with the various products and services available for MSMEs from Banks & Financial Institutions, the Bank’s credit appraisal of MSMEs including Working capital, Export financing, Bill-discounting, Term Loan financing and other facilities. The course also covers credit management aspects for MSMEs and ensuring various covenant compliances, understanding the nuances of the revival and rehabilitation schemes for stressed MSMEs.
  • Core Courses - Catalogue

S.No. Name of Core Course Course Snapshot
1 Decision Making Science The course covers both the qualitative and quantitative aspects of decision-making. Students learn to applythe basics of decision making to defining a decision problem, generating alternatives and choosing a viable alternative; to perform decision making under uncertainty; to differentiate between different types of sampling and apply them using appropriate tools; to use simple modelling and predictive analytics using appropriate automated tools; to generate a hypothesis, to test and enable making appropriate decisions through different types of statistical tests; and to Generate optimal solutions to business decision problems.
2 Introduction to Digital Business This course covers the topic of how digital technology drives business transformation. In addition, the participants learn about the platform economy and non-linear processes to unlock customer value; and about various models to build digital leadership. Participants also learn about the transformation challenge and about the reasons why digital transformations fail.
3 Financial Accounting and Financial Statement Analysis The objective of this course is to introduce the student to accounting concepts and regulations. The participants are familiarized with the financial statements. The participants learn how to analyze and interpret financial statements. Participants understand rules, concepts, and key accounting standards; and they learn to interpret the Income statement and apply appropriate methods to arrive at the value of select Assets and liabilities. They learn to Interpret Balance sheet items and cash flow statement items to understand them; to analyze financial statements, and to evaluate the quality of financial statements.
4 Managerial Accounting The objectives of this course are to demonstrate the role of Cost Accounting and Management Accounting as means to ascertain costs and take some key decisions for taking the business towards profitability, and to lay a foundation for developing their skills in decision making using financial data. The course acquaints participants in brief with cost and management accounting mechanics, processes, and systems, but the emphasis is laid on sound concepts and their managerial implications that will help in reducing the cost and increasing profits. Participants learn about Decision making skills regarding costing; arriving at the Break Even Point; makeor buy decisions; budgeting; and implementing ABC in a company.
5 Corporate Finance This is an introductory course for management professionals to understand the basic functions of finance. It introduces the different financial decisions to be taken by managers and their impact on the organization. Participants understand the Finance function vis-à-vis business goals and shareholder value creation; learn to apply the discounted cash flow techniques and their various applications, including applications for capital investment decisions; and learn to understand Capital Asset Pricing Model and apply the skills in estimating the Cost of Equity.
6 Business Economics This course teaches participants to do a sectoral analysis and about the cointegration between business and economics. The course also helps the participants to understand the microeconomic concepts and theories in business decision making; to understand the importance of economic theory, principles, methodologies, and analytical tools for strategic decision making; to develop critical thinking ability to become a strategist; to understand the business implications of Macroeconomic and International Business Environment, and to understand business transformation through technology.
7 Behavioral Science The course enables participants to understand how employee and consumer behaviors are driven by perceptions, attitudes, and individual personalities; to evaluate biases and how they impact decision making given the values, beliefs, and attitudes of each employee/customer are different; to examine consumers in their social and cultural settings. Participants understand the fundamentals of leadership; learn to apply the concepts of EI to managing own EI; and to apply the concepts of culture, and ethics to change behaviour in the organization and consumer behaviour.
8 Human Capital Management This course teaches participants about the best practices of human capital management and how to apply them in an increasingly globalized world so as to positively impact business. Participants understand the analysis underlying the human resource /human capital strategy formulation; learn to evaluate various aspects of HR process and improve the experiences in employee life cycle; and learn to critique performance management and compensation systems, tools and techniques aligned with business strategy.
9 Marketing Management The objectives of this course are to demonstrate the role of marketing in the company, and to show how effective marketing builds on a thorough understanding of buyer behaviour to create value for customers. This is an introductory course for management professionals to explore relationship of marketing with other functions. Students learn how to make marketing decisions in the context of general management; to control the elements of the marketing mix—product policy, channels of distribution, communication, and pricing—to satisfy customer needs profitably; to understand the analysis underlying the marketing strategy formulation; to identify consumer needs, design value propositions and deliver value to create customer relationships; to understand differences in consumers, consumer behaviour, to comprehend ways and means to develop and manage brand equity over time; to understand the development of product strategy, pricing strategy and communication strategy; to understand the development of an effective sales and channel plan; and to analyse the challenges in entering a new market and developing a marketing program for it.
10 Business Strategy and Simulations This is an introductory course to the field of strategy and strategic management. The course is designed to make participants appreciate various tools, frameworks and concepts in strategy analysis. The course is designed to make participants understand firm related strategic choices and how these choices enable some firms to outperform others and maintain sustained success. This course also helps participants in appreciating and aligning their decisions and strategies with the overall strategy of the organization.

Participants learn to differentiate between Strategic and Operational Decisions; to evaluate the attractiveness of industries and assess their profit potential; to assess the resources/competences of the firm and its linkages with competitive advantage; to develop strategies to create and sustain competitive advantage in a particular industry; and to understand the shift in Businesses from pipelines to platforms.
11 Service Operations Management This is an introductory course that exposes management graduates to the ‘World of Services’. Participants learn about the service industry and its various functions. Participants learn about different tools and techniques which were once applied solely to manufacturing, but which are now used extensively in services industries. Participants learn about the nature of services and aligning service strategy to competitiveness. They learn to manage demand and capacity in service organizations; to design Service processes, process selection, and service facility layout; to measure service quality – SERVQUAL model; to manage queueing and waiting line problems in service organizations; to manage inventory in services set-up, and to understand ‘Project Management’ in service organizations.
12 Design Thinking This is an introductory course for students to learn and appreciate the various tools associated with problem identification and coming up with feasible innovative solutions to those problems. Participants learn to use Design Thinking frameworks, tools, and techniques; to design and formulate a Design Thinking solution for business, through a comprehensive project- for a business idea/product concept/ customer experience; to develop a Design Thinking ‘mindset’ towards innovative problem solving; to frame actionable problem/possibility statements using analysis & syntheses of data, and to create a prototype.

Core Faculty

  • Dr. Elena Loutskina

    Professor of Business Administration, Peter M. Grant II Bicentennial Foundation Chair in Business Administration, Darden School of Business, University of Virginia.

    Education: Ph.D., Boston College

    Loutskina's research focuses on financial intermediation. Her research interest includes securitization, commercial banks, strategic management, consumer finance, mortgage markets, small business lending and regulation of financial intermediaries.

  • Dr. Ting Xu

    Assistant Professor of Business Administration, Darden School of Business, University of Virginia.

    Education: Ph.D., University of British Columbia, M.Sc., Hong Kong University of Science and Technology

    Ting Xu is an assistant professor of finance at the University of Virginia, Darden School of Business. His research focuses on entrepreneurial finance, FinTech and family firms. His work has explored angel financing and crowdfunding.

  • Prof. Tushar Jaruhar

    Adjunct Professor, Finance Area, Jagdish Sheth School of Management

    Education: MBA, Northwestern University, Kellogg School of Management, USA, M. Sc., University of Pennsylvania, USA

    Prof Tushar is an Actuary from the Society of Actuaries, USA. He is also affiliated with the Institute & Faculty of Actuaries, UK. He is a certified Six Sigma trainer. Tushar holds a Bachelor’s in Electrical & Electronics Engineering from the Manipal Institute of Technology, Mangalore University. He has a Dual Master’s in Electrical Engineering & Telecommunications and Networking Engineering from the University of Pennsylvania. Further, he has a Master’s in Business Administration from the Kellogg School of Management, Northwestern University where he was the recipient of Kellogg’s Four Pillar Award for Intellectual Depth.

    His experience spans strategy, operations, finance, marketing, risk management, engineering, nanotechnology, actuarial, analytics, artificial intelligence, machine learning and deep learning.

  • Dr. Tuhin Chattopadhyay

    Visiting Professor, Finance Area, Jagdish Sheth School of Management

    Education: Ph. D., Uttar Pradesh Technical University, India, MBA, West Bengal University of Technology, India, M. Sc., stands for Sikkim Manipal University, India

    Dr. Tuhin Chattopadhyay, Founder & CEO of Tuhin AI Advisory, is a celebrated Industry 4.0 thought leader among both the academic and corporate fraternity. Recipient of numerous prestigious awards, Tuhin is hailed as India's Top 10 Data Scientists by Analytics India Magazine.

    Tuhin spent the first ten years of his career in academia and research, teaching business statistics, analytics, and technology at several reputed B-Schools of India. As a corporate practitioner, Tuhin has a proven record of accomplishment as a transformational leader in organizations like The Nielsen Company. Currently, he runs his own consultancy for providing a full suite of Artificial Intelligence, Blockchain, Business Analytics, Business & Social Research, CTO/ CDO/ CAO/ CISO as a Service, Cloud Computing, Cybersecurity, Data Engineering, Digital Transformation (Mobile & Web App Development), Intelligent Automation, Management Consultancy (Intelligence Amplification) services to the clients.

    Tuhin is a prolific researcher. He has authored research-based books and has more than thirty research publications in refereed journals and conference proceedings. As a corporate trainer, he regularly conducts training programs and workshops on business analytics in India and abroad. Tuhin is a renowned speaker on analytics and delivers invited talks and keynote speeches at international conferences like Next Big Tech Asia 17 in 2017 at Kuala Lumpur and Sports Analytics Africa in 2018 at Johannesburg. He is also invited to judge international data science competitions held across Europe and USA.

    Tuhin is Senior Member of IEEE, life member of Indian Statistical Institute (ISI) and member of Institute for Operations Research and the Management Sciences’ (INFORMS). Interested readers may go through his recent interview to DZone, article on AI-powered NLP and blog on the application of derivatives in analytics. He is the Editor-in-Chief of International Journal of Business Analytics and Intelligence and is the editorial board member of several leading journals.

  • Dr. Akhilesh Prasad

    Assistant Professor, Finance Area, Jagdish Sheth School of Management

    Education: DBA, SP Jain School of Global Management, Global MBA, EDHEC Business School, France, B. Tech (H), IIT Kharagpur, India, Certification in Quantitative Finance (CQF), Fitch Learning, London, FRM (Part 1 & 2), GARP, USA, CFA (Level 1 & 2), CFA Institute, USA

    Prof. Akhilesh has worked in software industry in open-source technology for more than 12 years before moving into Finance. His research is primarily focused on Quantitative Finance, Financial Mathematics, Statistics, and Machine Learning

  • Prof Vikram Pandya

    Director of FinTech, SP Jain School of Global Management, Mumbai

    Education: CA, Institute of Chartered Accountants of India - ICAI, CFA, CFA Institute, USA, M. Com, Sydenham College of Commerce and Economics, India

    Prof. Vikram is Director of FinTech at SP Jain School of Global Management where he has designed Asia’s first interactive FinTech program featuring Blockchain, API Banking, AI/ML and IoT labs. He has authored several white papers and articles on FinTech domain. He has an extensive experience in banking, financial services, Fintech, consultancy, and training domain. He is founder and Director of Association for Emerging Technologies which is a not-for-profit ecosystem initiative. He is associated as a mentor with various FinTech startups and Fintech focused funds across the globe. He is Fintech ambassador for Maharashtra Govt.'s Uday Fintech platform, and he is helping Fintech committee for Government of Rajasthan and Government of Karnataka. He is founding member of Startup Committee at ICAI. He is heading research at Fintech VC Fund Varanium NexGen. He has been a successful banker for more than a decade where he has made key contributions in Financial & Investor Strategy, Business Intelligence, Balance-sheet Management and Business Development & Technology Solutions. He has been a visiting faculty at various prestigious global institutes.


This is the culmination of the Career Track in FinTech. In this module, students will execute a Capstone project.

Students will be grouped into groups of 5-6 members. Each group will work on a different project.

A few samples project titles which were handled in previous years are given below:

  • Company


    Project Title

    Building fee-based revenue streams (e.g. Insurance Distribution)

    Project Description

    Feasibility of building an Insurance Distribution business and other recommendations for enhancing fee-based services

  • LoanTap

    SWOT Analysis of competitors’ Credit Scoring practices

    Evaluation of positioning of competitors and where LoanTap can improve its offerings to be at the leading edge

  • LoanTap

    Customer Persona and Targeting for Electric Vehicle Loans (new business segment)

    Average Customer Persona (4) from interviewing typical customers, their journey maps and touchpoints of communication and media/messaging

  • MyShubhLife

    Feature Selection for Credit Scoring Model

    Using customer dataset to understand key features that predict delinquency of clients and not using the CIBIL score

  • Ujjivan Bank

    Scope for Digital Lending

    Examining the scope for digital lending of a Small Finance Bank


  • Chirag Garg

    Qualification: MBA - Finance, Digital Business & Analytics, Banking, JAGSoM

    Work Experience: NA

    Contact: https://www.linkedin.com/in/garg-chirag/

    Other Project and Accomplishments:

    1. Self-financed both my undergraduate and postgraduate tuition fees through my startup's profits and savings.

    2. White Paper on Deep analysis of the transportation problem in Bangalore and proposing the most feasible solution by introducing air taxis.

    3. Volunteer Coordinator for the event 'KANYATHON'.

  • Kamakshi Gupta

    Qualification: PGDM - Finance, Digital Business & Analytics, Banking, JAGSoM

    Work Experience: NA

    Contact: https://www.linkedin.com/in/kamakshi-gupta-04494814a/

    Other Project and Accomplishments:

    1. Research Project on Credit Modelling for Individuals.

    2. Published book- Thoughts’ Buffet with NotionPress Publishers (available on Amazon & Flipkart).

    3. Student Managed Investment Fund (SMIF)

  • Haarish Hassan

    Haarish Hassan

    Qualification: PGDM - Finance, Digital Business & Analytics, Banking, JAGSoM

    Work Experience: NA

    Contact: https://www.linkedin.com/in/haarish-hassan-878868176/

    Other Project and Accomplishments:

    1. White Paper presentation on addressing the compliance needs of 5G.

    2. IIP and Placement committee member, Student Council, JAGSOM.

    3. 1st Prize in Design Thinking Competition.

  • Hruthik Agarwal

    Qualification: PGDM - Finance, Digital Business & Analytics, Banking, JAGSoM

    Work Experience: NA

    Contact: https://www.linkedin.com/in/Hruthik-Agarwal-18682a193/

    Other Project and Accomplishments:

    1. Internship at Tradeshala.

    2. Research Project on To Determine the Relationship Among the NSE Sector Indices and Between Sector Indices and NIFTY 50.

  • Lavisha Grover

    Qualification: PGDM - Finance, Digital Business & Analytics, Banking, JAGSoM

    Work Experience: NA

    Contact: https://www.linkedin.com/in/lavisha-grover-1998d/

    Other Project and Accomplishments:

    1. Internship at T-Assets.

    2. Request for problems on analysing the emergence and growth of private equity and venture capital in India and their impact on the economy.

    3. The Design Thinking Project entails taking a Pizza Hut location and using the design thinking process to identify potential problem statements and prototyping a solution. 

  • Nikita Prasad

    Qualification: PGDM - Finance, Digital Business & Analytics, Banking, JAGSoM

    Work Experience: NA

    Contact: https://www.linkedin.com/in/nikita-prasad-bb22b5215/

    Other Project and Accomplishments:

    1. Sales Trainee at Edelweiss Financial Services.

    2. Case study on company growth - Licious India.

    3. Case study on challenges in the product adoption - Pizza Hut India.

  • Nupur Gupta

    Qualification: PGDM - Finance, Analytics and Digital Business & Entrepreneurship, JAGSoM

    Work Experience: NA

    Contact: https://www.linkedin.com/in/nupur-gupta-3507361a3/

    Other Project and Accomplishments:

    1. Design Thinking (Burger King).

    2. The Request for problems project on Varanium Capital Advisors Pvt. Ltd. is working on the venture debt and venture capital topics, analysing data to research and prepare a report.

  • Rishabh Sharma

    Qualification: PGDM - Finance, Digital Business & Analytics, JAGSoM

    Work Experience: NA

    Contact: https://www.linkedin.com/in/rishabh-sharma-30bb42142/

    Other Project and Accomplishments:

    1. White Paper on “Accident Detection & Response”

    2.Design Thinking project on YULU

  • Rishu Rishabh

    Qualification: PGDM - Finance, Digital Business & Analytics, Banking, JAGSoM

    Work Experience: NA

    Contact: https://www.linkedin.com/in/rishu-rishabh-00b07a176/

    Other Project and Accomplishments:

    1. Innovation and Incubation member at JAGSOM

    2. Design Thinking project on Prototype of D-Mart recruitment app.

    3. Research Analyst at Student-Managed Investment Fund (SMIF)

  • Saloni Chand

    Qualification: PGDM - Finance, Digital Business & Analytics, JAGSoM

    Work Experience: NA

    Contact: https://www.linkedin.com/in/saloni-chand-904986201/

    Other Project and Accomplishments:

    1. Management Trainee (Product) at PINGA.

    2. Associate CIO in Kanyathon 2021-2022

    3. Student Head of cultural committee

  • Sanskriti Sinha

    Qualification: PGDM - Finance, Digital Business & Analytics, JAGSoM

    Work Experience: NA

    Contact: https://www.linkedin.com/in/sanskritisinha132/

    Other Project and Accomplishments:

    1. Wealth Management Intern at Green Portfolio.

    2. Member at Corporate Social Responsibility Committee (21-'23)

    3. Instagram User Analytics

  • Shaan Kothari

    Qualification: PGDM - Finance, Digital Business & Analytics, Banking, JAGSoM

    Work Experience: NA

    Contact: https://www.linkedin.com/in/shaan-kothari-800227154/

    Other Project and Accomplishments:

    1. Content Strategist at CARHP.COM.

    2. Innovation Incubation Committee Member 21-23

    3. Winner for best start-up pitch conducted by Startup Oasis Incubator and accelerator - 2019

  • T. Shanmukha Swami Nath

    Qualification: PGDM- Finance, Entrepreneurship & Fintech, JAGSoM

    Work Experience: NA

    Contact: https://www.linkedin.com/in/shanmukh-thatavarthi-060b5917b/

    Other Project and Accomplishments:

    1. Internship at BONI as a product manager intern.

    2. Design thinking on the analysis of Max Fashions's top 3 problem statements Evaluation.

    3. Industry analysis on present condition and future growth of Apollo Group.

  • Yogiraj Ajagond

    Qualification: PGDM - Finance, Digital Business & Analytics, Banking, JAGSoM

    Work Experience: NA

    Contact: https://www.linkedin.com/in/yogiraj-ajagond-4079a5192/

    Other Project and Accomplishments:

    1. Investment Banking Internship at Xpertiz

    2. Herding in Stock Market.

    3. Request for Problem on the new product development as BOHNI wanted to spread its leg in different kind of business.