| Session |
Date |
Day |
Time |
Topic |
| 1 |
|
|
|
Introduction to WealthTech & Industry Overview
- What is WealthTech: definition, evolution, scope
- India’s WealthTech landscape: key players, market size, funding trends
- Global WealthTech trends: US, UK, Singapore, UAE
- The advisor-tech stack: an overview
- Business models: B2B, B2C, B2B2C, SaaS, marketplace
- Careers and opportunities in WealthTech
|
| 2 |
|
|
|
Digital Client Experience & Onboarding
- Digital client acquisition and onboarding
- KYC, video KYC, e-sign, and digital verification
- Risk profiling and suitability
- Goal-setting and financial planning journeys
- Client portals, mobile applications, and reporting
- Personalisation and segmentation
- Accessibility and inclusive design
- Measuring client experience and engagement
|
| 3 |
|
|
|
Digital Advisory & Portfolio Technology
- Digital advisory and robo-advisory models
- Goals-based investing and model portfolios
- Risk profiling and asset-allocation tools
- Portfolio construction and rebalancing
- Portfolio monitoring and alerts
- Tax-aware and cash-flow-aware portfolio features
- Human adviser oversight of automated recommendations
- Suitability, disclosures, and client understanding
|
| 4 |
|
|
|
Wealth Products & Digital Distribution
- Mutual funds, PMS, AIFs, and SIFs
- Digital access to deposits, bonds, and other investments
- Product discovery, comparison, and execution
- Direct, advised, and platform-led distribution
- Open architecture and product shelf design
- Product governance and target-market assessment
- Fees, commissions, and conflict disclosures
- Risks of gamification and unsuitable product nudges
|
| 5 |
|
|
|
Wealth Data & Analytics
- Data types used in wealth management
- Client, transaction, portfolio, and product data
- Data collection, quality, and standardisation
- Data aggregation and consolidated wealth views
- Account Aggregator framework: RBI, Sahamati, consent architecture
- Financial dashboards and reporting
- Client segmentation and personalisation
- Data privacy, consent, and retention
|
| 6 |
|
|
|
Artificial Intelligence & Automation in Wealth
- AI, machine learning, and generative AI: core concepts
- AI use cases in wealth management
- Research, document review, and summarisation
- Client-service automation and conversational tools
- AI-assisted portfolio insights
- Workflow automation and robotic process automation
- Human review and accountability
- Hallucination, bias, and explainability
- Model risk and validation
|
| 7 |
|
|
|
WealthTech Architecture & Integration
- Core wealth-management technology components
- CRM and client-relationship platforms
- Portfolio-management and reporting systems
- Financial-planning tools
- Order-management and execution systems
- APIs and third-party integrations
- Cloud and software-as-a-service models
- Data warehouses and single-client views
- Legacy-system integration
- Build, buy, or partner decisions
|
| 8 |
|
|
|
Cybersecurity, Privacy & Resilience
- Cybersecurity risks in wealth management
- Identity, authentication, and access management
- Phishing, ransomware, and social engineering
- Data encryption and secure communications
- Third-party and vendor risk
- Client-data confidentiality
- Incident response and breach escalation
- Backup, disaster recovery, and business continuity
- Operational resilience
|
| 9 |
|
|
|
Regulation, Compliance & Conduct
- Regulatory landscape for digital wealth services in India
- Relevant roles of SEBI, RBI, IRDAI, PFRDA, and IFSCA
- Digital KYC, AML, and customer due diligence
- Investment-advice, research, and distribution boundaries
- Suitability and investor-protection principles
- Digital recordkeeping and audit trails
- Outsourcing and technology-provider oversight
- Data privacy and consent requirements
- Ethical conduct in technology-enabled advice
|
| 10 |
|
|
|
WealthTech Operations & Process Automation
- Digital workflows from onboarding to servicing
- Transaction processing and reconciliation
- Document management and e-signatures
- Automated reporting and client communications
- Exception handling and operational controls
- Straight-through processing
- Service-level monitoring
- Reducing manual errors and operational friction
- Outsourced operations and oversight
|
| 11 |
|
|
|
Digital Assets & Emerging Technologies
- Blockchain and distributed-ledger concepts
- Tokenisation of financial and real-world assets
- Digital custody and wallet concepts
- Digital assets: opportunities and risks
- Smart contracts and programmable assets
- Open finance and consent-based data sharing
- Embedded wealth services
- Digital identity
- Emerging payment and settlement models
|
| 12 |
|
|
|
WealthTech Strategy & Business Models
- WealthTech business models and revenue sources
- Target users and value propositions
- Platform economics and unit economics
- Customer acquisition, engagement, and retention
- Partnerships between banks, wealth firms, and fintechs
- Product management and service design
- Technology implementation and change management
- Measuring business and client outcomes
- Scaling innovation responsibly
|
| 13 |
|
|
|
Ethics, Governance & Responsible Innovation
- Client-first technology design
- Transparency and informed consent
- Fairness and non-discrimination
- Conflicts in digital product recommendations
- Algorithmic accountability
- AI and data governance
- Human oversight and escalation
- Responsible use of client information
- Balancing efficiency, personalisation, and trust
|
| 14 |
|
|
|
Global WealthTech & Cross-Border Models
- Global WealthTech hubs: US, UK, Singapore, UAE
- International platforms: Betterment, Nutmeg, StashAway, Wealthfront
- Cross-border wealth: GIFT City, DIFC, Singapore
- Regulatory arbitrage and compliance
- Global expansion playbooks
- Cross-border data flows and privacy
- International partnership models
|
| 15 |
|
|
|
Product Management for WealthTech
- Product thinking for WealthTech: user, problem, solution
- Writing PRDs and user stories for wealth products
- Agile development: sprints, standups, retrospectives
- Working with engineering, design, and compliance
- Product metrics: activation, retention, AUM, revenue
- Go-to-market for WealthTech products
- Roadmapping and prioritisation
|
| 16 |
|
|
|
WealthTech Product Lab — Hands-On
- Hands-on with live WealthTech platforms
- Building a client journey on a platform
- Portfolio construction using digital tools
- Data aggregation and reporting demo
- AI tools for advisors: prompt engineering
- Evaluating platforms: build vs. buy
|
| 17 |
|
|
|
Capstone Project Presentations
- Capstone project presentations to jury
- Peer feedback and mentor review
- Certification and recognition
|
Bootcamp (Mumbai) — Full-Day Intensive
- Welcome and program overview
- WealthTech landscape deep dive
- Platform demo and hands-on session
- Panel discussion with industry leaders
- Networking lunch
- Case study workshop
- Ask Me Anything with Valuefy leadership
|