With the rising popularity of quantitative finance, Quant interview questions have become a heated topic for candidates looking to break into the industry. By turning to comprehensive github repositories that collect frequently asked Quant interview questions, candidates can gain valuable insights on key areas to prepare. In particular, questions related to C++ programming, math puzzles, financial concepts, and brain teasers are commonly asked by top firms like Two Sigma, Jane Street, Citadel, and Hudson River Trading.

C++ programming forms fundamental Quant technical skillset
One key area that Quant roles rigorously test for is C++ programming proficiency. Quant developers need to implement complex statistical models and algorithms efficiently, necessitating strong command over memory management, multithreading, STL fluency, and coding best practices in C++. Leetcode style programming questions in C++ frequently show up in Quant coding interviews.
Math puzzles demonstrate quantitative problem solving abilities
Since Quants are expected to analyze complex financial models, math puzzles form another typical category of Quant interview questions. Brain teasers involving probability, combinatorics, algebra, geometry, and number theory are often asked. Solving these demonstrate strong quantitative reasoning skills and out-of-the-box problem solving techniques.
Financial concepts round up core quant quantative knowledge
Quants are expected have a strong grasp over the financial environment they operate in. Quant interview questions often query core concepts like option pricing models, stochastic calculus, statistical arbitrage, HFT trade lifecycle, and risk management models. Advanced knowledge on financial regulations and market microstructure also helps.
Brain teasers showcase logical reasoning abilities
Given the innovative thinking required to develop profitable trading strategies, brainteaser interview questions allow Quants to showcase their logical reasoning and creativity. Lateral thinking puzzles involving unconventional approaches to seemingly impossible problems are common. Github repositories with such brain teaser collections help anticipate the wide spectrum.
In summary, while no single resource can fully guarantee interview success, comprehensive github repositories collecting frequently asked Quant interview questions provide invaluable preparation guidance across the diverse areas of technical programming, quantitative problem solving, financial concepts, and out-of-the-box thinking that leading firms look for.