Fintech Engineer Course

Lesson 1 • Core Financial Concepts for Engineers

Introduces essential financial instruments, transactions, and accounting basics. Bridges finance domain knowledge with engineering practice.

Lesson 2 • Regulatory and Compliance Fundamentals

Explains the functional purpose of financial regulation and compliance obligations. Engineers learn to embed compliance requirements into system design.

Lesson 3 • Fintech Industry Overview

Covers fintech market segments, key players, and value chains. Provides context for all subsequent technical decisions.

Lesson 4 • Engineering Roles in Fintech Teams

Defines responsibilities across product, platform, and data engineering roles. Clarifies collaboration patterns with compliance, risk, and business teams.

Lesson 1 • Payment Rails and Networks

Examines card networks, bank transfer schemes, and real-time payment rails. Establishes the infrastructure layer underlying all payment products.

Lesson 2 • Reconciliation and Ledger Design

Introduces double-entry ledger principles and automated reconciliation pipelines. Ensures financial accuracy across distributed payment systems.

Lesson 3 • Payment Gateway Integration

Covers API-based integration with payment processors and acquirers. Students implement end-to-end payment acceptance flows.

Lesson 4 • Transaction Lifecycle Management

Traces a transaction from initiation through clearing and settlement. Teaches engineers to handle state transitions and failure scenarios.

Lesson 1 • Authentication and Authorisation Protocols

Teaches OAuth 2.0, OpenID Connect, and multi-factor authentication implementation. Students secure financial APIs and user sessions.

Lesson 2 • KYC Pipeline Architecture

Designs automated customer due diligence workflows integrating document and biometric checks. Connects regulatory obligations to scalable engineering solutions.

Lesson 3 • Privacy-Preserving Identity Techniques

Introduces data minimisation, tokenisation, and zero-knowledge proofs for identity. Balances regulatory compliance with user privacy obligations.

Lesson 4 • Digital Identity Fundamentals

Defines identity proofing, credentials, and trust levels in financial contexts. Sets the foundation for authentication and KYC system design.

Lesson 1 • Data Pipeline Architecture

Builds batch and streaming pipelines for financial data ingestion and transformation. Connects raw transaction data to analytics and reporting layers.

Lesson 2 • Financial Data Modeling

Covers relational and event-sourced data models for financial entities. Establishes schema patterns that support auditability and reporting.

Lesson 3 • Data Quality and Governance

Implements data validation, lineage tracking, and governance policies for financial datasets. Supports regulatory reporting and internal audit requirements.

Lesson 4 • Transactional Database Design

Examines ACID properties, isolation levels, and locking strategies for financial workloads. Ensures data integrity under concurrent transaction loads.

Lesson 1 • Fraud Typology and Attack Vectors

Catalogues payment fraud, account takeover, and synthetic identity schemes. Provides the threat model that drives detection system design.

Lesson 2 • Model Monitoring and Feedback Loops

Implements drift detection, performance tracking, and analyst feedback integration. Keeps fraud models accurate as attack patterns evolve.

Lesson 3 • Machine Learning for Fraud Detection

Applies supervised and unsupervised models to transaction scoring and anomaly detection. Extends rule-based systems with adaptive, data-driven detection.

Lesson 4 • Rule-Based Fraud Detection Systems

Builds deterministic rule engines with threshold logic and velocity checks. Establishes a baseline detection layer before introducing machine learning.

Lesson 1 • Monetization and Usage Analytics

Implements API usage metering, billing integration, and analytics dashboards. Enables product teams to optimize and monetize API platforms.

Lesson 2 • API Design for Financial Products

Applies REST and event-driven design principles to financial API surfaces. Produces consistent, versioned, and developer-friendly API contracts.

Lesson 3 • Developer Portal and Sandbox Environments

Builds developer portals with interactive documentation and sandbox testing environments. Accelerates third-party integration and reduces onboarding friction.

Lesson 4 • API Gateway and Security Layer

Configures API gateways for rate limiting, authentication enforcement, and traffic management. Protects financial APIs from abuse and unauthorized access.

Lesson 1 • Credit Decisioning Systems

Designs automated underwriting engines integrating bureau data and internal signals. Produces fair, explainable, and auditable credit decisions.

Lesson 2 • Alternative Data and Open Credit

Integrates non-traditional data sources such as cash flow and utility data into credit models. Expands credit access while managing model risk.

Lesson 3 • Loan Origination System Design

Builds application intake, document collection, and approval workflow systems. Covers the full origination pipeline from application to disbursement.

Lesson 4 • Loan Servicing and Repayment Engines

Implements amortization schedules, payment processing, and delinquency management. Maintains accurate loan state throughout the repayment lifecycle.

Lesson 1 • Reliability Engineering for Finance

Defines SLOs, error budgets, and reliability targets for financial services. Establishes the operational framework for high-availability platform management.

Lesson 2 • Observability and Incident Management

Implements distributed tracing, metrics, and log aggregation for financial systems. Enables rapid detection and resolution of production incidents.

Lesson 3 • Secure Software Development Lifecycle

Integrates threat modeling, static analysis, and dependency scanning into CI/CD pipelines. Shifts security left in the fintech engineering workflow.

Lesson 4 • Security Architecture for Fintech

Applies zero-trust principles, network segmentation, and secrets management to financial infrastructure. Reduces attack surface across the platform stack.