Quant Roadmap 2027
5 readings
Choose a quant role, build the mathematical core, and turn your first research question into an auditable Python project.
- Who this is for
- Beginners and career changers planning their quant study in 2027.
- What you will work towards
- Choose a starting level and a role-aligned sequence through foundations, coding, research and a first project.
Before you start
Use these SMQ lessons to check the ideas the readings assume. Lesson pages show the outline and how to access the full lesson.
- Conditional Expectation
Read conditional reasoning and expected payoffs.
- Vectors, Matrices and Linear Systems
Work with vectors and matrix operations before fitting a model.
Read in this order
On Becoming a Quant by Mark Joshi
Choose a direction before committing to a curriculum.
Quant Roadmap
Use a broad roadmap to map gaps in your current skills.
Introduction to Probability and Statistics
Build the common probability and statistics core.
Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares
Learn the linear algebra used in regression and portfolio models.
Quantitative Trading: How to Build Your Own Algorithmic Trading Business
Connect the foundations to a repeatable research process.
Continue your study on SMQ
- Point-in-Time Data
Check which information was available at the decision time.
- Finance-aware validation
Preserve time order and test for leakage before evaluating a model.
Follow the connected lessons, worked examples, and exercises in the app. Full lesson access depends on the topic and your membership.
Choose your SMQ learning pathway