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Tier-1 bank, campus program, metro Bangalore, and popular quantitative role increase applicant density.
Quantitative skills are transferable but finance-specific risk and compliance context raises domain sensitivity.
Mandatory degree fields and programming skills with explicit experience make filters moderately strict.
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Participate in 2027 summer internship program from May to August focused on low complexity quantitative analytics initiatives.
Attend classroom training, workshops, and networking events as part of structured development.
Support managers and stakeholders by reviewing basic issues and providing information related to low-risk tasks within defined guidelines.
6+ months of work experience or equivalent demonstrated through work, training, military experience, or education.
Enrollment in or completed Bachelor's/Master's degree in Engineering, Statistics, Applied or Computational Mathematics, Computer Science, Economics, Physics, Quantitative Finance, Operations Research, Data Science, or related quantitative field with expected graduation between March 2028 and August 2028.
Strong programming skills in Python, R, SAS, SQL, Spark, Java, C/C#/C++, or Big Data platforms.
Internship timeframe availability: May 2027 to August 2027.
Candidates currently pursuing quantitative degrees relevant to analytics and modeling with graduation aligned to 2028 timeframe.
Individuals with solid logical and analytical problem-solving skills, comfortable working under supervision with well-defined parameters.
Candidates proficient in technical programming and statistical tools aligned to data science and quantitative analysis tasks.