Programming

Python skills are often important in quant trading interviews. Our course, designed for candidates with basic coding knowledge, focuses on enhancing your Python abilities and coding style to help you prepare for your upcoming coding assessments. This course focusses on:

• Coding Best Practices
  Learn what to do and what not to do during coding tasks in interviews.
• Clean Code Examples
  Understand clean coding through examples like the Black Scholes and Binomial Tree Models.
• Essential Python Libraries
  Discussing key libraries like NumPy, Pandas, and Scikit-learn, which are important for many quants.
• Machine Learning Overview
  Recap important machine learning concepts and their applications in quant trading.
• Backtesting and Optimization
  Discussing effectively backtest and optimize trading strategies, avoiding common mistakes.

Test your skills with coding assignments from actual quant trading interviews. Solve problems in your coding environment, then check your solutions against our answers, complete with suggested inputs and expected outputs.