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Tier-1 bank brand and metro Bangalore campus recruiting increase applicant density.
Quantitative programming skills are transferable, though finance internship bias favors candidates with domain knowledge.
Graduation window, 6+ months experience, and specific quantitative degree and technical skills enforce strict filters.
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Participate in a formal internship program involving workshops and training on low complexity quantitative analytics initiatives.
Support tasks involving basic or tactical issues with low risk and narrow impact, exercising judgment within defined parameters.
Provide information and updates to managers and functional colleagues related to projects and compliance requirements.
6+ months of work experience or equivalent demonstrated via work experience, training, military experience, or education.
Currently pursuing Bachelor's/Master's in Engineering, Statistics, Applied/Computational Mathematics, Computer Science, Economics, Physics, Quantitative Finance, Operations Research, Data Science, or related quantitative field.
Expected graduation between March 2028 and August 2028.
Proficient in programming and statistical software such as Python, R, SAS, SQL, Spark, Java, C/C#/C++, or Big Data platforms.
Comfortable applying strong logical and analytical skills to problem-solving in quantitative analytics contexts.
Able to effectively communicate technical concepts in spoken and written English.
Engaged in learning through structured classroom, self-study, and networking activities as part of an internship program.