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Tier-1 brand, popular quant intern role, metro location, and broad skills create high applicant competition.
Core ML and statistical skills transfer across industries, but market-specific expertise increases sensitivity.
Strong quantitative and programming filters with assessment-based selection raise shortlisting strictness.
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Participate in an intensive training program covering trading concepts, options theory, statistical modelling, and machine learning.
Design and optimize predictive quantitative models using large financial datasets to support trading strategies.
Collaborate with traders, researchers, and engineers to solve real-world challenges and present findings to technical and non-technical audiences.
Currently pursuing a bachelor’s or master’s degree in Mathematics, Statistics, Computer Science, Physics, Engineering, or a related quantitative field.
Proficiency in programming, preferably Python; knowledge of C++, Java, Matlab, or R is also relevant.
Strong analytical and problem-solving skills with interest in applying quantitative methods to financial challenges.
Work Experience Required: Not explicitly mentioned in the JD.
Comfortable working in a fast-paced, intellectually challenging quantitative research environment related to financial markets and algorithmic trading.
Able to apply mathematical and statistical techniques creatively to improve or develop trading models.
Effective communicator capable of delivering complex quantitative insights clearly to diverse audiences.