Most Frequently Asked Questions On Quant Interviews | 150

150 Most Frequently Asked Questions on Quant Interviews — Engaging Guide

This document organizes, explains, and enriches 150 commonly asked quant interview questions across categories you’ll encounter when preparing for quant roles (quantitative researcher, quantitative developer, quant trader, data scientist, and quant-focused software engineering). It’s designed to be expressive and engaging: concise definitions, why the question matters, common solution strategies, and brief tips to help you answer clearly and confidently in interviews.

66. What is finite difference method for PDEs?

86. Explain ensemble learning and stacking.

81. Can you explain the concept of risk management?
82. How do you calculate the risk-weighted assets of a bank?
83. What is the definition of a Value-at-Risk (VaR) model?
84. Can you describe the properties of a VaR model?
85. How do you calculate the expected shortfall of a portfolio?
86. What is the difference between a VaR and expected shortfall?
87. Can you explain the concept of stress testing?
88. How do you calculate the capital adequacy ratio of a bank?
89. What is the definition of a regulatory capital requirement?
90. Can you describe the properties of the Basel III accord?
91. How do you calculate the liquidity coverage ratio of a bank?
92. What is the definition of a net stable funding ratio?
93. Can you explain the concept of market discipline?
94. How do you calculate the credit risk premium of a bond?
95. What is the difference between a credit rating and credit score?
96. Can you describe the properties of a credit default swap?
97. How do you calculate the value of a credit default swap?
98. What is the definition of an operational risk?
99. Can you explain the concept of economic capital?
100. How do you calculate the return on equity of a bank?

• Approach: Type I: false positive, Type II: false negative; power = 1 - Type II.
• Tip: explain trade-offs via significance level.