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Tier-1 brand, metro location, and popular internship role drive high applicant competition.
Quant skills transfer well, but banking compliance and risk requirements increase industry specificity.
Graduation window, explicit 6+ months experience and mandatory programming skills make screening highly strict.
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Participate in a structured internship program focused on low complexity quantitative analytics initiatives.
Attend training sessions, workshops, self-study, and networking events to build skills and understanding of policies and procedures.
Provide support on tactical and low-risk tasks, communicating findings to managers and stakeholders under supervision.
6+ months of work experience or equivalent through work, training, military, or education.
Pursuing or completed a Bachelor's/Master's degree in Engineering, Statistics, Mathematics, Computer Science, Economics, Physics, Quantitative Finance, Operations Research, Data Science, or related field, graduating between March 2028 and August 2028.
Proficiency in programming and statistical software such as Python, R, SAS, SQL, Spark, Java, C/C#/C++, or Big Data platforms.
Excellent spoken and written English communication skills.
Comfortable working on defined, low-risk quantitative analytics tasks with guidance and within established parameters.
Strong logical and analytical problem-solving approach with foundational understanding of quantitative methods.
Ability to effectively communicate technical concepts to managers and team members.