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Advanced Quant & AI EngineeringEnrollment opening soon

FinTech Systems Architecture Masterclass

Master end-to-end fintech architecture: ledgers, event sourcing, integrations, security, reliability, scalability, compliance-aware design and AI components.

  • Duration12 weeks
  • LevelAdvanced
  • Modules12
  • Lessons48
Enroll nowView curriculum
FinTech Systems Architecture Masterclass
Proposed fee$2,499USD · 12 weeks

Course overview

This masterclass is about designing complete financial technology systems and defending the trade-offs. You will work through domain modeling, ledger and transaction design, event-driven architecture, research and market data platforms, security and reliability engineering. Later modules cover compliance-aware design and how to integrate machine learning and LLM services with proper oversight, ending in a full architecture review.

  • Domain modeling
  • Ledger architecture
  • Event sourcing and CQRS
  • Security architecture
  • Reliability engineering
  • AI system integration

What you will learn

  • Analyze architecture trade-offs across correctness, latency, availability and cost
  • Model financial domains with bounded contexts, ledgers and reconciliation flows
  • Design event-driven systems with event sourcing, sagas and schema evolution
  • Produce threat models, reliability targets and disaster recovery architectures
  • Document a multi-service fintech platform with decision records and defend it in review

Curriculum

12 modules · 48 lessons · 12 weeks. Curriculum preview; the final syllabus may change before enrollment opens.

  • Quality attributes for financial systems
  • Trade-off analysis
  • Architecture decision records
  • Reading reference architectures

  • Bounded contexts in financial products
  • Accounts, ledgers and positions
  • Event storming workshops
  • Context maps

  • Double-entry design at scale
  • Consistency models
  • Sagas and compensating transactions
  • Reconciliation architecture

  • Event sourcing and CQRS
  • Streaming platforms with Kafka
  • Schema evolution
  • Delivery semantics and trade-offs

  • Market data distribution
  • Research and backtesting platforms
  • Separating research from production
  • Data access patterns

  • API gateways
  • Partner integrations and webhooks
  • Open banking style APIs
  • Rate limiting and quotas

  • Zero trust principles
  • Identity, authentication and authorization
  • Data protection and key management
  • Threat modeling

  • Availability targets and error budgets
  • Failure modes and bulkheads
  • Disaster recovery architecture
  • Operational readiness reviews

  • Partitioning and sharding
  • Caching hierarchies
  • Low-latency design considerations
  • Capacity planning

  • Audit trails and immutability
  • Data retention and residency
  • Change management controls
  • Model and AI governance hooks

  • Integrating ML and LLM services
  • Feature stores and model serving
  • Human oversight patterns
  • Monitoring AI components

  • End-to-end system design brief
  • Architecture documentation
  • Design review panel
  • Capstone presentation

Practical projects

01

Design a ledger-based platform with event sourcing, reconciliation and audit trails

02

Produce a threat model and security architecture for an AI research SaaS

03

Present a complete architecture document with decision records for a multi-service fintech platform

Skills you will practice

  • System design
  • Event sourcing
  • Kafka
  • Threat modeling
  • Architecture documentation
  • Reliability engineering

Requirements

Who it's for

  • Senior engineers stepping into architecture roles
  • Technical leads and architects at fintech companies
  • Engineers who completed Financial Backend & API Architecture

Prerequisites

  • Financial Backend & API Architecture or equivalent backend design experience
  • Cloud Infrastructure for Financial Systems is recommended
  • Several years of professional software development

Learning format

  • Self-paced lessons built around architecture case studies
  • Design workshops and written architecture assignments
  • Live design reviews in cohort runs
  • Capstone architecture review panel

Quantzivo certificates are completion credentials issued by Quantzivo, not accredited qualifications. Courses teach technical and research skills; they do not promise investment returns or provide investment advice.

Frequently asked questions

Self-paced lessons built around architecture case studies Design workshops and written architecture assignments Live design reviews in cohort runs

Financial Backend & API Architecture or equivalent backend design experience. See the full list under Requirements.

Yes. Completing the lessons and assessed projects earns a Quantzivo certificate of completion. It is a completion credential issued by Quantzivo, not an accredited qualification.

The $2,499 USD fee is a proposed launch price. Final fees, schedules, refund terms and any regional options are confirmed before any payment is taken.

Quantzivo teaches technical, data and research skills. It does not provide investment advice, trading signals or any promise of returns. Trading involves risk, including loss of capital.
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