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Tier-1 brand, metro location, mid-level data scientist title, and broad skills create high candidate competition.
Strong banking-domain familiarity preferred, but technical data science skills are transferable across industries.
Requires 4+ years, a master's in quantitative field, and specific technical banking analytics skills.
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Lead or participate in moderately complex data science initiatives to deliver actionable insights, trends, and recommendations impacting business strategy and risk reduction.
Analyze large, structured and unstructured datasets using advanced statistical techniques and models to influence business decisions and improve outcomes.
Collaborate with peers and managers to drive data-driven recommendations and communicate insights to non-technical audiences effectively.
4+ years of data science experience or equivalent through work, training, military, or education.
Master's degree or higher in quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science.
Strong programming and data skills with Python, PySpark, SQL; experience working with large datasets.
Work Experience Required: 4+ years, with at least 3 years in large banks/financial services preferred.
Experienced in transforming complex business problems into actionable analytics within large financial institutions.
Capable of independently managing moderately complex projects and mentoring junior team members.
Skilled in advanced analytics methodologies with good communication skills to present insights to technical and non-technical stakeholders.