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Tier-1 brand, popular data scientist role, mid-level experience requirement, metro location.
Core data science skills are transferable, though banking/AML specialization increases sector specificity.
Explicit years, quantitative degree, domain skills and regulated bank environment make screening strict.
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Work with large and complex datasets (internal and external) to evaluate, recommend, and implement business strategies.
Document data requirements and conduct data collection, cleaning, exploratory analysis, and apply statistical models/algorithms and data visualization.
Identify policy gaps, make data-driven recommendations, and ensure compliance with laws and policies to safeguard firm and client interests.
2+ years of experience for Masters degree holders; 4+ years for Bachelors degree holders.
Bachelor's or Master's degree in Engineering, Technology, Statistics, Economics or a similar quantitative discipline.
Proficiency in data retrieval and manipulation tools like SQL and Access.
Strong analytical, problem-solving, and communication skills.
Experienced in handling large datasets with quantitative tools and statistical modeling.
Able to operate effectively in a matrix environment and build partnerships across teams.
Understanding of policy impact on business decisions with a focus on risk, compliance, and safeguarding reputation.