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FinTech & SaaS Application EngineeringEnrollment opening soon

FinTech Software Engineering Fundamentals

Learn the engineering habits behind dependable financial software: precise money handling, clean Python projects, testing, version control and CI pipelines.

  • Duration5 weeks
  • LevelIntermediate
  • Modules5
  • Lessons20
Enroll nowView curriculum
FinTech Software Engineering Fundamentals
Proposed fee$599USD · 5 weeks

Course overview

Financial software has to be correct, traceable and easy to change safely. This course covers the core engineering practices used to build it: representing money and time correctly, structuring Python projects, testing calculation logic and shipping code through automated pipelines. You finish with a small, well-tested service and a workflow you can reuse on larger fintech projects.

  • Decimal money handling
  • Python project structure
  • Testing financial logic
  • Git and code review
  • Continuous integration
  • Docker basics

What you will learn

  • Represent monetary values, currencies and timestamps without rounding or time zone errors
  • Structure a Python codebase with typed domain models, linting and consistent formatting
  • Write unit and property-based tests that verify financial calculations
  • Collaborate through Git branches, pull requests and constructive code review
  • Build a CI pipeline that tests, packages and containerizes a small service

Curriculum

5 modules · 20 lessons · 5 weeks. Curriculum preview; the final syllabus may change before enrollment opens.

  • What makes financial software different
  • Correctness, auditability and traceability
  • Representing money with decimals, not floats
  • Time zones, calendars and timestamps

  • Python packaging and project layout
  • Type hints and static analysis
  • Linting and automatic formatting
  • Designing readable domain models

  • Git workflows for small teams
  • Pull requests and code review practice
  • Semantic versioning and changelogs
  • Managing configuration and secrets

  • Unit testing with pytest
  • Property-based tests for calculations
  • Fixtures built from historical data samples
  • Regression tests for numerical outputs

  • Continuous integration fundamentals
  • Containerizing a service with Docker
  • Logging and error handling
  • Documentation and handover

Practical projects

01

Build a ledger module that records transactions with decimal precision and an audit trail

02

Write a tested library for fee, interest and currency conversion calculations using property-based tests

03

Set up a CI pipeline that lints, tests and packages a small Python service into a Docker image

Skills you will practice

  • Python
  • pytest
  • Git
  • Type hints
  • Docker
  • CI pipelines

Requirements

Who it's for

  • Python developers moving into financial technology
  • Analysts who write scripts and want production-quality habits
  • Junior engineers joining fintech or trading technology teams

Prerequisites

  • Working knowledge of Python, or completion of Python Programming for Financial Markets
  • Comfort using a terminal and a code editor

Learning format

  • Self-paced video lessons with code walkthroughs
  • Hands-on coding labs with automated test feedback
  • Weekly assignments with code reviews
  • Quantzivo certificate of completion on meeting course requirements (not an accredited qualification)

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 video lessons with code walkthroughs Hands-on coding labs with automated test feedback Weekly assignments with code reviews

Working knowledge of Python, or completion of Python Programming for Financial Markets. 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 $599 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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