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Tier-1 brand, metro location, and generalist BA/data title drive high applicant density.
Core analytics skills transfer well, but banking AML/risk specialization increases domain sensitivity.
Explicit 0–2 years plus required SAS/Python and banking compliance needs create strict filters.
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Work with large and complex internal and external data sets to evaluate, recommend, and support business strategies.
Document data requirements, perform data collection, processing, cleaning, and exploratory analysis using statistical models, algorithms, and visualization techniques.
Identify policy gaps, analyze data inconsistencies, and formulate recommendations on business policies and procedures within the team.
0-2 years relevant experience in a quantitative field.
Bachelor's degree or equivalent experience required.
Ability to retrieve and manipulate data using tools like SQL and Access.
Work Experience Required: 0-2 years relevant experience.
Has hands-on experience analyzing large data sets and developing statistical or algorithmic models.
Comfortable working within a matrix environment collaborating across cross-functional teams.
Exposure or interest in specialized analytics domains such as marketing, risk, digital, or AML is a plus.