Quantitative Finance UWA
Quantitative Finance UWA (QFin UWA) is a mathematics, finance and financial technology club affiliated with the University of Western Australia's Societies Council since early 2021.
Application deadline: 25 July 2025
Welcome to Our Trading Team
The QFin UWA Trading Team provides students a collaborative environment to learn about financial concepts, mock-trading, probability and gain practical experience in algorithmic and statistical trading.
What We Do Throughout the Semester
Weekly Presentations
Students present market analysis, trading strategies, and research findings to peers and industry professionals
Industry Engagement
Guest speakers from leading quantitative finance firms share insights and career guidance
Collaborative Projects
Team-based development of trading algorithms and risk management systems using real market data
Final Presentation
Students present their trading strategies and research findings to peers and industry professionals
Our Trading Team Experience
Team Environment: Work alongside ambitious peers in a collaborative atmosphere that mirrors real quantitative finance teams, with mentorship from industry professionals and academic experts.
Semester Structure
A carefully designed 9-week program balancing theory and practice
Week 1: Introduction to Quantitative Finance
Foundations of quantitative finance and mathematical concepts
Week 2: Introduction to Python
Programming fundamentals for quantitative finance
Week 3: Modelling Part 1
Introduction to financial modelling techniques
Week 4: Market Essentials
Understanding market mechanics and microstructure
Week 5: Modelling Part 2
Advanced modelling techniques and applications
Week 6: Basics of Options
Options theory and pricing fundamentals
Week 7: Portfolio Theory
Modern portfolio theory and optimization
Week 8: Game Theory
Strategic decision-making in financial markets
Week 9: Presentations
Final project presentations and peer review
Program Structure
Key components of the QFin UWA experience
Semester Duration
Comprehensive curriculum covering theory and practical application
Cohort Size
Selective intake ensures quality peer learning and individual support
Industry Partners
Direct access to professionals from leading quantitative trading firms
Trading Strategies
Hands-on development of algorithmic trading systems
Selection Process
We seek intellectually curious students with strong analytical skills from any STEM or quantitative field. The quantitative finance industry values diverse technical backgrounds that bring fresh perspectives to complex problems.
Strong academic performance across quantitative disciplines
Analytical problem-solving ability
Programming experience preferred but not required
Curiosity about financial markets and mathematical modelling
What We Look For
2025 Sponsors
Supported by leading quantitative finance firms
