1. Finance (Quant, Risk, Data Analytics) ✅ Key Skills to Develop: Financial modeling, time series analysis Probability, statistics, and stochastic processes Machine learning applications in finance Python (pandas, NumPy, scikit-learn), R, SQL Tools: Bloomberg Terminal, Excel (VBA), Power BI ✅ What to Do: Take a Financial Engineering/Quantitative Finance course Learn algorithmic trading and practice on platforms like QuantConnect or Kaggle Earn certifications like CFA (Chartered Financial Analyst) or FRM (Financial Risk Manager) Apply for Quantitative Analyst, Risk Analyst, or Financial Data Scientist roles 🔗 Where to Apply: Investment banks, hedge funds, asset management firms, fintech startups Example Role: Quantitative Analyst at Goldman Sachs - Develop statistical models for risk assessment - Implement trading algorithms in Python and R - Analyze financial trends and optimize investment strategies 2. Tech (Data Science, AI, Software Development) ✅ Key Ski...