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Tier-1 brand, mid-level generalist data role, metro location, and broad skill requirements increase applicant competition.
Core data science skills are transferable, though domain specializations (AML, risk) raise fit sensitivity.
Explicit 2–5 years and quantitative/SQL requirements create moderate filtering of candidates.
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Work independently with large, complex data sets to evaluate and support business strategies, including data collection, processing, cleaning, and exploratory data analysis.
Identify and compile data sets using tools like SQL and Access to predict, improve, and measure key business-to-business outcomes.
Apply statistical models, algorithms, and data visualization techniques; ensure risk assessment and compliance with applicable laws and policies to protect the firm.
2-5 years of relevant experience in a quantitative field involving data retrieval, manipulation, and analysis.
Bachelor’s degree or equivalent experience.
Proficiency with data tools such as SQL and Access for data compilation and processing.
Excellent communication skills required; specifics on notice period not mentioned.
Experienced working independently with complex data to influence business decisions in analytics roles, possibly in marketing, risk, digital, or AML domains.
Strong analytical and problem-solving skills with a solid understanding of industry standards and practices in data science/analytics.
Ability to work effectively in a matrix environment and collaborate with cross-functional leaders.