Switching from data scientist to quant can be a great move if you are interested in financial markets, algorithmic trading, and high-stakes decision-making. Here’s why it makes sense: 1. Leverage Your Data Science Skills in a High-Paying, Competitive Field Quantitative finance pays well: Quants often earn more than data scientists, especially in hedge funds, proprietary trading firms, and investment banks. Your statistical & machine learning skills are valuable in alpha generation, portfolio opt

In quantitative finance, cryptography is vital for ensuring the security and integrity of data and transactions that underpin algorithmic trading and financial modeling. Here’s how it plays a role: Data Integrity and Authenticity: Quantitative models rely on vast streams of real-time data. Cryptographic hash functions verify that data hasn't been altered during transmission, ensuring that the input for trading algorithms is both accurate and authentic. Secure Communication: Financial transaction