FinTech Data Analytics

Course Overview

A practical, technology‑driven course that teaches learners how to use data to power digital financial products, optimise customer experience, strengthen risk controls, and drive innovation in FinTech ecosystems. The course covers digital payments analytics, customer behaviour modelling, credit and fraud algorithms, product performance metrics, A/B testing, personalisation engines, and regulatory considerations across neobanks, lending platforms, wallets, and digital financial services.

Target Audience

• FinTech product, analytics, and growth teams

• Digital banking, payments, and lending professionals

• Data analysts, BI developers, and machine‑learning teams in financial services

• Risk, fraud, compliance, and customer experience teams

• Students or professionals entering FinTech, digital finance, or analytics roles

Course Outcomes

• Understand FinTech data ecosystems, digital product metrics, and regulatory requirements

• Analyse customer journeys, behaviour patterns, and transaction flows

• Apply predictive models for credit scoring, fraud detection, churn, and personalisation

• Use data to optimise digital onboarding, KYC flows, and customer lifecycle value

• Evaluate product performance using funnel analytics, A/B testing, and cohort analysis

• Build dashboards for payments, lending, risk, and customer insights

• Identify anomalies, risks, and optimisation opportunities across digital financial products

• Communicate FinTech insights clearly to product, engineering, risk, and leadership teams