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Tier-1 brand, metro location, and an early-career quantitative role attract many qualified applicants.
Quantitative and programming skills transfer across industries, but finance domain requirements moderate fit sensitivity.
Requires specific quantitative degrees, 6+ months experience, and mandatory programming/statistics tool skills.
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Participate in a formal internship program focusing on low complexity quantitative analytics initiatives.
Attend training sessions, workshops, and networking events as part of skill development.
Support managers and stakeholders by providing information related to basic, low-risk tasks within defined parameters.
6+ months of work experience or equivalent (including education or training).
Enrollment in or expected graduation in 2027 with a Bachelor's or Master's in a quantitative field such as Engineering, Statistics, Mathematics, Computer Science, Economics, Physics, Quantitative Finance, Operations Research, or Data Science.
Computer programming skills in languages and tools such as Python, R, SAS, SQL, Spark, Java, C/C#/C++, or Big Data platforms.
Spoken and written English proficiency to communicate technical concepts effectively.
Learner comfortable operating within defined guidelines on low-risk, tactical quantitative tasks.
Background aligned with quantitative analytics or related fields with programming aptitude in statistical and data languages.
Internship-seeking candidate prepared to develop foundational skills in a structured program with mentoring and feedback.