150 Most Frequently Asked Questions On Quant Interviews Here

150 Most Frequently Asked Questions on Quant Interviews — Engaging Guide

Part 6: Coding & Algorithms (Questions 106–125)

  1. Can you explain the concept of behavioral finance?
  2. How do you calculate the loss aversion of an investor?
  3. What is the definition of a cognitive bias?
  4. Can you describe the properties of a prospect theory?
  5. How do you calculate the reference point of an investor?
  6. What is the difference between a rational and irrational investor?
  7. Can you explain the concept of market sentiment?
  8. How do you calculate the sentiment index of a market?
  9. What is the definition of a bubble in a financial market?
  10. Can you describe the properties of a market crash?
  11. How do you calculate the herding behavior of investors?
  12. What is the difference between a fundamental and technical analysis?
  13. Can you explain the concept of noise trading?
  14. How do you calculate the noise trader sentiment index?
  15. What is the definition of a sentiment-driven market?
  16. Can you describe the properties of a sentiment-driven investor?
  17. How do you calculate the disposition effect of an investor?
  18. What is the difference between a long-term and short-term investor?
  19. Can you explain the concept of mental accounting?
  20. How do you calculate the mental accounting bias of an investor?

System design & production quant systems (10)

  1. Explain overfitting in tree-based models and how to prevent it.
  • Approach: write/read throughput, compression, indexing by time/symbol, columnar vs row storage.
  • Tip: consider specialized formats (Parquet) and time-series DBs.
  1. Describe memory management issues in high-frequency systems.

The Insight:

You are expected to understand the relationship between volatility, time decay (Theta), and the underlying asset price. A common trick question involves intuitive pricing: "If volatility doubles, does the price of the call option double?" (Answer: No, it increases by roughly $\sqrt2$ due to the square root of time rule in volatility scaling). 150 Most Frequently Asked Questions On Quant Interviews

  1. How do you communicate technical results to non-technical stakeholders?
150 Most Frequently Asked Questions On Quant Interviews