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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 bank, popular Data Engineer title, metro location and broad skillset increase competition.
Banking risk and information security focus increases domain specificity, reducing cross-industry transferability.
Senior VP-level role with mandatory AWS, ETL, security and data engineering skills enforces strict screening.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and implement ETL and automated AI-driven data solutions to secure private bank information and ensure data quality.
Build and maintain scalable tools and processes for proactive risk detection and data integrity monitoring within Business Risk.
Collaborate with cross-functional teams to deliver clear data reports influencing strategic decisions and supporting Business Risk initiatives.
Minimum Requirements
Work Experience Required: Not explicitly mentioned in the JD.
Strong experience with AWS data products and tooling for data usage and dependencies.
Proficiency in ETL design, data modelling, programming languages, and data software engineering fundamentals.
Knowledge of risk management and information security specifically related to data handling.
Ideal Candidate Profile
Experience developing scalable, automated data engineering solutions in risk or information security domains.
Comfortable working at a vice president level with cross-functional stakeholder management and communication.
Demonstrated ability to innovate and embed AI-driven automation within data processes to improve risk detection and operational efficiency.