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Tier-1 bank, popular Data Scientist role with mid-level experience in a metro location.
Requires financial/credit-card domain experience, making cross-industry transfers difficult despite transferable data science skills.
Explicit 6–10 years requirement and mandatory financial/credit card domain experience increases candidate filtering significantly.
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Analyze large, complex internal and external data sets to evaluate, recommend, and support implementation of business strategies related to fraud analytics.
Develop data models, perform data retrieval, cleaning, exploration, and statistical analysis including visualization to improve and measure key business outcomes.
Provide expert advice on data and analytics impacting the business area, influencing cross-functional stakeholders to drive strategic decisions.
6-10 years of professional experience, preferably in Financial or Credit Card industry.
Bachelor’s degree required; Master’s degree preferred.
Proficient in data retrieval and manipulation tools such as SQL and Access; excellent analytical and problem-solving skills.
Strong Microsoft Office skills, especially advanced Excel; excellent communication and interpersonal skills.
Experienced data scientist with specialization or strong knowledge in fraud analytics, marketing, risk, digital, or AML domains within financial services.
Ability to handle complex data projects impacting large areas of business with measurable outcomes.
Skilled at influencing and communicating with stakeholders in a matrixed work environment to align analytics with business strategy.