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Tier-1 bank, remote, mid-level generalist data role, metro location and broad skills increase applicant density.
Role demands banking wholesale credit risk domain knowledge and Collibra governance experience, limiting cross-industry transferability.
Explicit 3–5 years requirement plus mandatory SQL, Python, Collibra and banking datasets raises filter strictness.
Deliver subject matter and industry expertise for Data Quality across the enterprise, collaborating with multidisciplinary teams including business leads, operations managers, and technologists.
Develop and implement process improvements and solutions to streamline operational workflows and address Data Quality issues via a formal remediation process.
Define detailed business data requirements and interpret complex data results with professional judgment, while managing communication of sensitive information to stakeholders.
3-5 years of experience in defining and implementing Data Quality programs within the Banking or Finance industry.
Minimum 3 years of experience working with Wholesale Credit Risk datasets.
Proficiency in SQL and Python; intermediate SQL skills explicitly required.
Bachelor's degree or equivalent experience.
Experienced in Data Quality and Data Governance, especially within financial institutions handling credit risk data.
Comfortable working both independently and collaboratively across teams, engaging with stakeholders from business and technology functions.
Skilled in using industry tools such as Collibra, Tableau, and familiar with database structures, indicating ability to handle complex data environments.