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Tier-1 brand, metro location, common early-career title, and broad skillset create high competition.
Core data skills are transferable, but SAS and banking/AML focus increases domain specificity.
Explicit 0–2 year requirement, mandatory SAS/Python/SQL skills, and banking compliance indicate high strictness.
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Work with large complex data sets to evaluate, recommend, and support implementation of business strategies.
Identify and compile data using tools like SQL and Access for predictive and measurement purposes.
Document data requirements, perform data processing, cleaning, exploratory analysis, and utilize statistical models or visualizations.
0-2 years relevant experience in a quantitative field.
Bachelor's degree or equivalent experience.
Ability to retrieve and manipulate data using tools like SQL or Access.
Excellent communication and interpersonal skills with adaptability to matrixed work environments.
Early-career professional with foundational knowledge in data science or computational statistics.
Experience or interest in specialization areas such as marketing, risk, digital, or AML analytics.
Comfortable working in cross-functional teams and operating within regulated environments requiring compliance awareness.