An elite network of ambitious students from Bocconi, LSE, HSG, NYU, Oxford, ESADE, and more. Gain hands-on experience in quantitative analysis, prop trading, and financial markets through real-world applications and expert insights.

What You Get:
Master trading fundamentals, refine strategies, and build deep market insights to advance your career.

1. Trainee Program: From Beginner to Quant Trader
Start with the basics, then develop, backtest, and apply your own strategies. Engage in research, market analysis, and trading challenges.

2. Analyst Team – Apply and Compete
Put theory into practice. Join the Analyst Team to conduct market research, test strategies, and participate in trading challenges designed to replicate real prop trading environments.

3. Choose Your Path: Quant Research or Quant Trading Team

Quant Research Team – Weekly macro & fundamental reports
Quant Trading Team – Design, backtest, and implement trading algorithms, compete in demo challenges, and earn prizes

4. Master Prop Trading & Become a Funded Trader
Learn how prop trading works, secure capital, and navigate firm challenges. We prepare our members to succeed in the industry.

Global Finance Network
Join top students in trading, IB, and consulting. Expand your opportunities with exclusive insights.

📩 Apply now through our website: www.da-strategies.com

D+A Strategies

This department focuses on analyzing data to provide insights and inform decision-making processes.

Data Analysis

This department focuses on developing and implementing quantitative trading strategies through research and analysis.

Quantitative Trading

This department focuses on fostering relationships and promoting events within the campus community.

Campus Engagement

This department focuses on analyzing data and developing quantitative models to inform strategic decision-making.

Quantitative Analysis

This department conducts in-depth analysis and evaluation of research data to support decision-making and strategy development.

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Other teams

Quantitative Trading

Campus Engagement

Quantitative Analysis

Research Analysis