Quant Preparation Morgan Stanley Tower Research Goldman Sachs

Quant Preparation Morgan Stanley, Tower Research, Goldman Sachs, World Quant.

Job Profile • Building financial models to predict market behavior • Different Profiles – Core Quant, Algorithmic Trading, Operations • Not a 9 to 5 job (more like 11 to 9) • Nice compensation (25+ Lacs)

Preparation Topics Probability and Statistics, Algorithms, Linear Algebra, Multivariate Calculus, C/C++ (OOP) PUZZLES

Placement Procedure • Competitive – Around 7 to 8 people from a batch • Resume Shortlist • Written Test (Duration 1. 5 hrs – 2 hrs) • Interview (3 - 4 rounds)

Written Test • A lot of focus on written test (Probably Most Important Criteria in Final Offer). • Goldman Sachs – 7 Questions (2 hours) • 2 Probability, 1 Calculus, 1 Linear Algebra, 1 Algorithms, 1 C++ Coding, 1. • Morgan Stanley – 8 Questions (2 hours) • 3 Probability, 3 Algorithms, 1 Linear Algebra, 1 Calculus

Written Test • Tower Research – 14 Questions (1. 5 hours) • 50 % C++ coding, rest 50 % Puzzles and Probability • 40% in general is good score • Shortlist – Around 30%

Interview • 3 -4 rounds of interview • Focus varies from profile to profile • Puzzles in general is common in all interviews

Important Tips • • Focus hard on your strengths Focus a lot on basic concepts Start early Preparation is different from other sectors- more exhaustive preparation required • No H. R. Interview • C. P. I. is not the major criteria

Resources • C/C++ - Herbert Schildt, Kernigham Ritchie (Online Material – geeksforgeeks. com) • Algorithms – Course Notes, Cormen, Eva Tardos • Linear Algebra/ Calculus – MTH 101/102 • Probability- Focus on Discrete Probability (ESO 209 – Recommended but not necessary)

Puzzles • • • Techinterview. org – basic puzzles WROX book (puzzles and coding) Pratik Poddar’s blog (best) 40 Puzzles in Probability (Library Book) Other Online Resources

Thank You ! Questions ?