FinTech Analytics

Course Overview

FinTech Analytics explores how data, technology, and advanced analytical methods are transforming financial services. The course covers digital payments, blockchain data, credit scoring models, fraud detection, robo‑advisory systems, alternative lending analytics, and customer behaviour in digital finance. Learners examine how machine learning, automation, and real‑time data streams support decision‑making in banking, insurance, investments, and emerging FinTech platforms. The course blends financial concepts with analytical techniques to help learners understand and evaluate modern digital finance ecosystems.

Target Audience

• Finance, banking, and FinTech professionals

• Data analysts and business analysts working with financial data

• Product managers and digital transformation teams in financial services

• Professionals in payments, lending, insurance, or wealth‑tech

• Students or early‑career professionals entering FinTech or financial analytics roles

Course Outcomes

• Understand the role of analytics in digital finance and FinTech innovation

• Analyse digital payment data, transaction patterns, and customer behaviour

• Apply machine learning techniques to credit scoring and risk assessment

• Evaluate fraud detection models and anomaly‑detection techniques

• Interpret blockchain and cryptocurrency data for financial insights

• Assess robo‑advisory algorithms and automated investment strategies

• Use analytics to support lending, insurance, and wealth‑tech decisions

• Examine ethical, regulatory, and data‑privacy considerations in FinTech analytics