Banking and Financial Services: Core Business Processes
Description
Deep dive into primary business processes, workflows, and process automation opportunities unique to BFSI organizations.
Learning Objectives
Equip professionals to model, analyze, and digitize BFSI-specific business processes for efficiency, compliance, and innovation using technology.
Topics (9)
Role of machine learning, data mining, predictive analytics, AI-powered chatbots, process discovery, Six Sigma and Lean re-engineering in improving process performance and customer experience.
All stages from lead capture, digital onboarding, ID validation, biometric authentication, document collection, regulatory checks, account activation, and periodic review.
Workflows for NEFT, RTGS, ACH, SWIFT, UPI, card payments, settlement, reconciliation, anti-fraud, and chargeback handling.
Credit scoring models, credit bureau integration, document verification, collateral, scoring, risk rating, approval delegations, loan disbursal, and ongoing monitoring.
Early warning, reminders, legal notices, restructuring, asset repossession, legal recovery, loss provisioning, and NPA analytics.
Fraud typologies, suspicious activity analytics, blacklisting, real-time alerting, manual review, SARs (suspicious activity reports), and machine learning applications.
Liquidity planning, interest rate risk, regulatory ratios, cash flow forecasting, hedging, trading, and regulatory reporting.
International trade finance basics, LC issuance, document checking, bill discounting, SWIFT for trade, correspondent banks.
BPMN modeling, RPA opportunities, workflow automation, digital signatures, audit trail requirements, and operational benefits.